Start merging ACMMM 2018
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2 13260.454830753895 7.0909757113198655
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2.1 13260.454830753895 7.0909757113198655
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85.2 1288.5979643231638 29.8949332793403
|
||||
85.3 192.0104637543526 30.912578212707164
|
||||
85.4 178.20752610349396 31.1627549000509
|
||||
85.5 352.8048944607669 31.189875935268667
|
||||
85.6 100.86966044436531 31.694624987301214
|
||||
85.7 119.41835005144031 31.644630551983713
|
||||
85.8 164.50630693059514 30.57356560842696
|
||||
85.9 223.7893205301322 30.02441385053676
|
||||
86 220.06481675619264 30.361941431885693
|
||||
86.1 211.09290172918642 30.713380805484697
|
||||
86.2 230.20917788214228 30.688269597731583
|
||||
86.3 234.88095001384937 30.639244055309366
|
||||
86.4 192.6732318128759 31.274385979636314
|
||||
86.5 615.6826583026669 29.94253049478213
|
||||
86.6 732.178528472717 29.93467516083373
|
||||
86.7 791.2911764131251 29.98007631650103
|
||||
86.8 761.1685958521286 30.24729570317674
|
||||
86.9 742.3538505188546 30.407125488428825
|
||||
87 715.2235193841011 30.68306727387773
|
||||
87.1 1023.7498521585153 30.095970003755472
|
||||
87.2 442.7555712596946 31.096757298956042
|
||||
87.3 425.8595097340931 31.299789400760094
|
||||
87.4 414.0632163436809 31.593262333814835
|
||||
87.5 404.42428068860806 32.38011377644819
|
||||
87.6 408.88963382152184 32.81634002346706
|
||||
87.7 66.07961160078347 34.08086624753424
|
||||
87.8 57.49115823589348 34.854187664604765
|
||||
87.9 58.289404120667136 34.784686818341086
|
||||
88 58.312658067723156 34.36970939591983
|
||||
88.1 58.70978569414767 34.19379839244175
|
||||
88.2 57.94201604047958 34.48971482135475
|
||||
88.3 62.06167837676085 33.679996970739346
|
||||
88.4 52.000410694147675 33.80438792290654
|
||||
88.5 52.17397905785059 33.80611046581676
|
||||
88.6 53.35487792814182 33.68616324295049
|
||||
88.7 53.3635225867561 33.807945861152675
|
||||
88.8 51.45992234488762 33.91518186162322
|
||||
88.9 50.55512902124882 34.00824079648999
|
||||
89 51.955470134931936 33.86506179729961
|
||||
89.1 53.748510233657804 33.77186769114318
|
||||
89.2 61.64469894011489 32.638124832125264
|
||||
89.3 62.97483660997514 32.65642920843167
|
||||
89.4 61.19991828489369 32.777850145328166
|
||||
89.5 57.773672973465374 33.063366068792554
|
||||
89.6 56.850798758466226 33.631005777832854
|
||||
89.7 58.78355235661007 33.46133652432328
|
||||
89.8 58.25922252764917 33.50123617426759
|
||||
89.9 62.25007748199587 33.30519553609976
|
||||
|
|
@ -0,0 +1,900 @@
|
|||
time mse psnr
|
||||
0.1 17454.228253761576 6.015536070063853
|
||||
0.2 13260.454830753895 7.0909757113198655
|
||||
0.3 13260.454830753895 7.0909757113198655
|
||||
0.4 13260.454830753895 7.0909757113198655
|
||||
0.5 13260.454830753895 7.0909757113198655
|
||||
0.6 13260.454830753895 7.0909757113198655
|
||||
0.7 13260.454830753895 7.0909757113198655
|
||||
0.8 13260.454830753895 7.0909757113198655
|
||||
0.9 13260.454830753895 7.0909757113198655
|
||||
1 13260.454830753895 7.0909757113198655
|
||||
1.1 13260.454830753895 7.0909757113198655
|
||||
1.2 13260.454830753895 7.0909757113198655
|
||||
1.3 13260.454830753895 7.0909757113198655
|
||||
1.4 13260.454830753895 7.0909757113198655
|
||||
1.5 13260.454830753895 7.0909757113198655
|
||||
1.6 4062.0677802385053 13.328551447317999
|
||||
1.7 4063.8643470293214 13.330051268334199
|
||||
1.8 4065.670441731462 13.328300888037653
|
||||
1.9 4065.4169526303813 13.3284015987125
|
||||
2 4064.2368833590535 13.33060866067084
|
||||
2.1 3113.1867088328977 14.036477058355056
|
||||
2.2 3110.017550797325 14.043304301852912
|
||||
2.3 3109.5078986625517 14.04464429314726
|
||||
2.4 3109.5078986625517 14.04464429314726
|
||||
2.5 3109.5217317337374 14.044595800128764
|
||||
2.6 3109.5217317337374 14.044595800128764
|
||||
2.7 3109.5217317337374 14.044595800128764
|
||||
2.8 3109.5217317337374 14.044595800128764
|
||||
2.9 3109.5217317337374 14.044595800128764
|
||||
3 3109.5217317337374 14.044595800128764
|
||||
3.1 3109.5217317337374 14.044595800128764
|
||||
3.2 3109.5217317337374 14.044595800128764
|
||||
3.3 3109.535628276848 14.044540173576564
|
||||
3.4 3109.54607428676 14.044509628253184
|
||||
3.5 2824.9151776917142 14.246680249922901
|
||||
3.6 2787.53048287136 14.319457993374156
|
||||
3.7 2769.1046269586896 14.384705459557152
|
||||
3.8 2769.147085583848 14.384604713918211
|
||||
3.9 2709.362740310423 14.420969096066242
|
||||
4 2356.2420362703783 15.386916330957408
|
||||
4.1 2621.9714943910253 15.235328346643715
|
||||
4.2 2617.61903545673 15.238213833114925
|
||||
4.3 2615.4274059482827 15.24948632943518
|
||||
4.4 2612.408273274276 15.25927429695049
|
||||
4.5 2612.252476468522 15.2594747856155
|
||||
4.6 2594.6107944315836 15.335880093817833
|
||||
4.7 2557.4987930194484 15.472386683092243
|
||||
4.8 2557.416816152758 15.472775379411
|
||||
4.9 2545.9504529840337 15.506448598256108
|
||||
5 2414.0515077209952 15.684341898028068
|
||||
5.1 2395.3651252497825 15.7336762215068
|
||||
5.2 2351.968873444425 15.892276915141519
|
||||
5.3 2310.519781440428 15.984439648913975
|
||||
5.4 2301.6543479319994 15.978604006527943
|
||||
5.5 2140.467738529796 16.172755217032442
|
||||
5.6 2135.7675127611587 16.18748337974216
|
||||
5.7 2184.157704413481 16.11698787789147
|
||||
5.8 2233.2350417581706 16.06442127163596
|
||||
5.9 2295.14915049264 15.90908904432109
|
||||
6 1985.2549991220517 16.136814028365993
|
||||
6.1 1865.1182641238327 16.405295568696143
|
||||
6.2 1830.8293436906456 16.563795099956916
|
||||
6.3 1883.310590450894 16.459221862453237
|
||||
6.4 1891.7464056688232 16.479336265224973
|
||||
6.5 1827.8849620874882 16.92378982200607
|
||||
6.6 1691.9959719501824 17.125499269391526
|
||||
6.7 1581.636253722005 17.73898295884314
|
||||
6.8 1509.2756198312359 17.85888175861826
|
||||
6.9 1480.629359172206 17.90474112267944
|
||||
7 1478.003104399137 18.438154278681125
|
||||
7.1 1505.4696010159464 18.308488303443333
|
||||
7.2 1497.900460205465 18.267893584851404
|
||||
7.3 1480.0993568969611 18.236820395271586
|
||||
7.4 1437.0406672527897 18.365023822067453
|
||||
7.5 1388.551277599715 18.47105129519489
|
||||
7.6 1427.1885825097936 17.982506638332566
|
||||
7.7 1305.8455874708175 18.88693054954932
|
||||
7.8 1342.551945174007 18.79676936141559
|
||||
7.9 1318.9732927746122 18.82002510535708
|
||||
8 1258.2005051044632 18.90367709948429
|
||||
8.1 1214.1096308167143 19.349201976476408
|
||||
8.2 1219.7995029454537 19.261049683560685
|
||||
8.3 1206.645392702398 19.217073086019674
|
||||
8.4 1118.9279817708334 19.398681260245787
|
||||
8.5 1091.8220988890869 19.44336373488267
|
||||
8.6 1099.2522350081117 19.39684725915871
|
||||
8.7 1063.9962981140195 19.55332563362157
|
||||
8.8 1011.3889963200382 19.745183254329717
|
||||
8.9 1007.0640433335313 19.771616967616016
|
||||
9 1013.1852398281694 19.737718095229205
|
||||
9.1 944.8992174392608 19.978024953638563
|
||||
9.2 943.4897148524059 20.131113162236794
|
||||
9.3 970.9386398484488 19.978471992613567
|
||||
9.4 995.3827866438153 19.89149741056684
|
||||
9.5 1019.6803941862535 19.81522640041837
|
||||
9.6 1022.1933247022396 19.821511240770256
|
||||
9.7 1018.6104113371517 19.857586918714567
|
||||
9.8 1000.9891638102446 19.90874768784105
|
||||
9.9 985.8256689344927 19.967871926038363
|
||||
10 986.7311910538342 19.952617036045808
|
||||
10.1 1119.0736938607943 20.041180758277605
|
||||
10.2 1434.6671836296096 19.712475956277764
|
||||
10.3 905.112266589506 20.327573984573835
|
||||
10.4 882.6929520566239 20.59497361028874
|
||||
10.5 824.4172599616177 20.784844125636337
|
||||
10.6 822.0360579025206 20.854957593169765
|
||||
10.7 842.6518318692627 21.087640690560722
|
||||
10.8 887.0238746315093 21.043903826989755
|
||||
10.9 841.601270365919 21.168693998230882
|
||||
11 765.4030641248221 21.385025326504056
|
||||
11.1 719.774203923809 21.373554282499644
|
||||
11.2 674.857914144112 21.612199322745553
|
||||
11.3 665.7706658060305 21.602256625139873
|
||||
11.4 689.9828317406617 21.844942578623524
|
||||
11.5 655.1951136262464 21.918655768813725
|
||||
11.6 647.0138435076369 21.92764669338542
|
||||
11.7 688.289714617462 21.67976000097033
|
||||
11.8 693.2735740394508 21.649928997780748
|
||||
11.9 709.1746871414015 21.608508936934324
|
||||
12 658.811863215713 21.825814264955845
|
||||
12.1 657.3388700315566 22.00120253756854
|
||||
12.2 650.2317137172563 22.021643884292928
|
||||
12.3 651.9861576794476 21.958912395145298
|
||||
12.4 659.2451079999604 21.937960335565865
|
||||
12.5 664.6739211380184 21.883754608500908
|
||||
12.6 739.0703782719017 21.561734559396122
|
||||
12.7 730.7459658416428 21.610225706115003
|
||||
12.8 691.0547018686689 21.773012720008698
|
||||
12.9 620.3360661750158 22.226264073826602
|
||||
13 603.0788722326092 22.262395577944872
|
||||
13.1 578.7158344462251 22.34277353573665
|
||||
13.2 552.6842750623218 22.410673545925533
|
||||
13.3 517.9226806594254 22.53121204719337
|
||||
13.4 554.4880612313034 22.281992872689987
|
||||
13.5 487.1190473152106 22.821759732146234
|
||||
13.6 504.3012595955998 22.84938519727956
|
||||
13.7 625.2849181529954 22.570431904187878
|
||||
13.8 494.42983246033174 23.1765497879705
|
||||
13.9 502.1763551930001 23.126484407289844
|
||||
14 516.2903296261674 23.029752335384032
|
||||
14.1 501.57205781101607 23.460133688317264
|
||||
14.2 491.25474135159465 23.576724274715534
|
||||
14.3 500.5222587127058 23.635573629291226
|
||||
14.4 501.67280602049686 23.601119593445976
|
||||
14.5 500.9517603350547 23.542232491769408
|
||||
14.6 477.8050464570473 24.148826326175644
|
||||
14.7 479.97243365928693 24.11945103436468
|
||||
14.8 488.17152735735203 24.0595410821936
|
||||
14.9 519.4034609078228 23.905935802393575
|
||||
15 460.51027034613406 24.234363988422707
|
||||
15.1 461.39982714318216 24.245026283809068
|
||||
15.2 449.1337375356125 24.607684175369965
|
||||
15.3 438.6365581473567 25.15862414633096
|
||||
15.4 425.30575660563073 25.55239864675149
|
||||
15.5 412.0328075043526 25.620655327667485
|
||||
15.6 384.55560672384456 25.90868635088246
|
||||
15.7 367.1980186446462 26.130328610291926
|
||||
15.8 376.18437950102896 26.123237916403678
|
||||
15.9 372.3560379570276 26.369546229196676
|
||||
16 354.72161298818844 26.65045279805522
|
||||
16.1 355.79982603029043 26.898971600579845
|
||||
16.2 351.0470753081473 26.860510656793394
|
||||
16.3 336.30720708689466 26.99556332647426
|
||||
16.4 343.73630646070757 26.72977641265234
|
||||
16.5 341.1897685803458 26.847297561835223
|
||||
16.6 340.62327292804287 26.807046454354143
|
||||
16.7 336.86844024513294 27.122988858964074
|
||||
16.8 318.60785577912316 27.156418345389543
|
||||
16.9 422.2805430540717 25.85509877187813
|
||||
17 505.99467764472536 25.42898255748806
|
||||
17.1 459.6815159811253 25.628899893531873
|
||||
17.2 457.53819816644904 25.75938630979816
|
||||
17.3 444.31674861259495 25.723998971676874
|
||||
17.4 438.70179907605257 25.879890217052655
|
||||
17.5 408.5721748253997 26.074732821283366
|
||||
17.6 405.23189795030066 26.314901912281737
|
||||
17.7 312.1613549085945 26.84762002873164
|
||||
17.8 311.0035734088121 26.77984957957128
|
||||
17.9 313.00215659870605 26.698306188724093
|
||||
18 301.8675889200498 26.840198565520264
|
||||
18.1 348.8151088037156 26.139502595266656
|
||||
18.2 339.8402959797404 25.94243609655823
|
||||
18.3 312.5198882656695 26.0472820936396
|
||||
18.4 319.53956268300885 25.932203619432137
|
||||
18.5 320.44828609726176 25.493661176464318
|
||||
18.6 325.02822147534823 25.439190016552402
|
||||
18.7 331.4145058266065 25.38425119723839
|
||||
18.8 327.4461569746162 25.35176691525603
|
||||
18.9 323.4763601144548 25.425812108362134
|
||||
19 313.5512498516145 25.49537232899218
|
||||
19.1 314.8892454594017 25.43874156391541
|
||||
19.2 322.2887799738841 25.28706275967321
|
||||
19.3 300.6922212453506 25.443143831053305
|
||||
19.4 292.6770316456948 25.506441289620415
|
||||
19.5 263.5181007142292 26.208850281184247
|
||||
19.6 265.5031199177944 26.351339210638578
|
||||
19.7 264.986470562777 26.48187374763125
|
||||
19.8 302.45514132488523 26.272604102280216
|
||||
19.9 253.9358478132914 26.559857736801952
|
||||
20 231.54308313053969 27.126874434669393
|
||||
20.1 229.591593376563 26.863832336936177
|
||||
20.2 226.69846014116416 27.287598149989172
|
||||
20.3 212.3408689829654 27.272013639129757
|
||||
20.4 226.35784618352324 26.92990548910341
|
||||
20.5 229.04281865800093 27.012594844827635
|
||||
20.6 242.77460980779122 26.4540792185929
|
||||
20.7 259.6859494944999 26.435357676219994
|
||||
20.8 257.64686535493826 26.478912591601826
|
||||
20.9 258.5656978325816 26.499852684231016
|
||||
21 265.1584819662076 26.426827378928543
|
||||
21.1 268.5551193514562 26.565198462404645
|
||||
21.2 273.30552863594096 26.603382506892096
|
||||
21.3 287.7467360987456 26.20315256368218
|
||||
21.4 312.74111354710743 25.991433305451054
|
||||
21.5 343.4674846049976 25.94737023517702
|
||||
21.6 346.28672581067985 25.51070356833571
|
||||
21.7 378.77288018854864 25.561242835106913
|
||||
21.8 458.69330496695943 25.18073303175553
|
||||
21.9 491.28372941150286 25.06681752777555
|
||||
22 531.6002860626384 24.77045367126891
|
||||
22.1 515.5262754975863 24.99166485083129
|
||||
22.2 534.2150177939023 25.00367262949774
|
||||
22.3 545.2856960148584 24.922887725247904
|
||||
22.4 537.7643419965773 25.249826955763385
|
||||
22.5 535.806239600645 25.399688304967807
|
||||
22.6 384.8460307355967 25.861996321126927
|
||||
22.7 348.5469063217197 26.77200509548862
|
||||
22.8 360.2402081849478 26.573659855273092
|
||||
22.9 349.12922590960346 27.05659197394734
|
||||
23 344.22829840089827 26.889002579507885
|
||||
23.1 335.5821888231046 27.17513090315415
|
||||
23.2 322.6435987703783 27.072636790842385
|
||||
23.3 315.36562950102876 26.91308195987024
|
||||
23.4 301.2779120296177 27.314678412432684
|
||||
23.5 299.2284128432653 27.78953392069479
|
||||
23.6 297.31570235834124 27.662858399442793
|
||||
23.7 298.08844734290915 27.959610365901828
|
||||
23.8 295.6528610839071 28.9265483260179
|
||||
23.9 307.80582885703546 32.78898507957581
|
||||
24 340.0234203120053 28.11393548231748
|
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82.8 120.35069599012742 37.43446744908971
|
||||
82.9 121.57716224972303 37.59385907190177
|
||||
83 112.0227607505342 37.85690804065747
|
||||
83.1 105.1115815057178 38.952636341730916
|
||||
83.2 65.57127332126464 38.0083180590064
|
||||
83.3 82.84910141411443 37.56469859986421
|
||||
83.4 108.04155525383824 37.552073564720345
|
||||
83.5 107.91490366067188 37.34562951461616
|
||||
83.6 67.5733168378047 37.68411480852716
|
||||
83.7 84.36547012256648 35.86797596377284
|
||||
83.8 91.28266851654006 36.277752496795976
|
||||
83.9 125.94106448094728 36.02214975951674
|
||||
84 189.30397458155278 35.75452205029988
|
||||
84.1 175.2100192653925 35.89402646228716
|
||||
84.2 119.62783762662232 35.647238699222065
|
||||
84.3 133.5424466801203 35.9654859757667
|
||||
84.4 144.5151648439973 35.808445516818175
|
||||
84.5 191.25711113089585 36.14923533676896
|
||||
84.6 231.3132103587963 35.13323383488814
|
||||
84.7 86.88046379144906 35.48079760767063
|
||||
84.8 75.92995409939854 35.58132140495978
|
||||
84.9 66.46084506815845 35.62558957284985
|
||||
85 116.5849394092276 32.602209140201495
|
||||
85.1 418.86761987080564 31.19032374030191
|
||||
85.2 1279.6062630208335 30.790083396733944
|
||||
85.3 168.40149346361585 31.98361367096445
|
||||
85.4 159.48343840267887 32.66489735410737
|
||||
85.5 334.25880784563935 32.713882008173854
|
||||
85.6 80.25400376404717 33.021529670700865
|
||||
85.7 100.31414261583966 33.11388286442128
|
||||
85.8 143.65764786621554 32.39078120080641
|
||||
85.9 204.4527177187203 31.09729028908418
|
||||
86 203.44369893063472 31.579223630325608
|
||||
86.1 203.22877259170232 32.21801048848647
|
||||
86.2 222.5287339990899 32.184973901899426
|
||||
86.3 228.04638930931466 32.251999584113186
|
||||
86.4 189.04366676806345 32.89573015736396
|
||||
86.5 617.1679012963951 31.717611721657338
|
||||
86.6 688.2836705147988 31.691664894494217
|
||||
86.7 778.3730646812679 31.679560784061326
|
||||
86.8 749.7591265160058 31.827944918159805
|
||||
86.9 729.2012419377174 31.944941561691238
|
||||
87 697.1572455558521 32.09089289602058
|
||||
87.1 678.9061176029792 32.75760756703767
|
||||
87.2 100.04525004204258 33.6464505059808
|
||||
87.3 107.12634975219612 33.45465580055807
|
||||
87.4 95.27227131311332 33.83355631498166
|
||||
87.5 85.19452075172127 34.56966103785829
|
||||
87.6 86.15083644943023 35.084496506419036
|
||||
87.7 55.66036389086735 35.623520478890555
|
||||
87.8 47.51961798136277 36.26731308012669
|
||||
87.9 48.33889925114753 36.199473742872584
|
||||
88 38.32755307257043 35.97051909124109
|
||||
88.1 38.98209349774454 35.59166955581509
|
||||
88.2 38.340104574726965 35.84728203208798
|
||||
88.3 42.467047374564736 35.20080162618841
|
||||
88.4 42.09834820898623 35.132946149193316
|
||||
88.5 42.265542955147986 35.088930623728714
|
||||
88.6 43.1673860151551 34.954274940053544
|
||||
88.7 42.57046751345362 35.138765612016215
|
||||
88.8 41.275768563034184 35.26214374087513
|
||||
88.9 39.69457681673393 35.524400311782664
|
||||
89 40.58644393993352 35.44128793354699
|
||||
89.1 41.331157320849165 35.3822213247245
|
||||
89.2 47.22794002914952 34.047538750003035
|
||||
89.3 49.04496802394119 33.97083360932556
|
||||
89.4 47.63537168317044 34.07795550035629
|
||||
89.5 45.50948845003858 34.2979042710435
|
||||
89.6 44.85934649348422 34.82778066625571
|
||||
89.7 46.3364264912337 34.65624532104341
|
||||
89.8 46.32459695698302 34.82513177823435
|
||||
89.9 50.34148118677127 34.68017254716468
|
||||
|
|
@ -0,0 +1,900 @@
|
|||
time mse psnr
|
||||
0.1 13260.454830753895 7.0909757113198655
|
||||
0.2 13260.454830753895 7.0909757113198655
|
||||
0.3 13260.454830753895 7.0909757113198655
|
||||
0.4 13260.454830753895 7.0909757113198655
|
||||
0.5 13260.454830753895 7.0909757113198655
|
||||
0.6 13260.454830753895 7.0909757113198655
|
||||
0.7 13260.454830753895 7.0909757113198655
|
||||
0.8 13260.454830753895 7.0909757113198655
|
||||
0.9 13260.454830753895 7.0909757113198655
|
||||
1 13260.454830753895 7.0909757113198655
|
||||
1.1 13260.454830753895 7.0909757113198655
|
||||
1.2 13260.454830753895 7.0909757113198655
|
||||
1.3 13260.454830753895 7.0909757113198655
|
||||
1.4 13260.454830753895 7.0909757113198655
|
||||
1.5 13260.454830753895 7.0909757113198655
|
||||
1.6 13260.454830753895 7.0909757113198655
|
||||
1.7 13260.454830753895 7.0909757113198655
|
||||
1.8 13260.454830753895 7.0909757113198655
|
||||
1.9 13260.454830753895 7.0909757113198655
|
||||
2 13260.454830753895 7.0909757113198655
|
||||
2.1 13260.454830753895 7.0909757113198655
|
||||
2.2 13260.454830753895 7.0909757113198655
|
||||
2.3 4427.646354661285 13.310360514304872
|
||||
2.4 3114.789180676737 14.034945053223506
|
||||
2.5 3112.44583456988 14.039582227912966
|
||||
2.6 3112.44583456988 14.039582227912966
|
||||
2.7 3112.44583456988 14.039582227912966
|
||||
2.8 3109.6182359800373 14.044347161787517
|
||||
2.9 3109.5670868574907 14.04444910049332
|
||||
3 3109.5670868574907 14.04444910049332
|
||||
3.1 3109.5670868574907 14.04444910049332
|
||||
3.2 3109.5670868574907 14.04444910049332
|
||||
3.3 3109.5670868574907 14.04444910049332
|
||||
3.4 3109.5670868574907 14.04444910049332
|
||||
3.5 3109.5670868574907 14.04444910049332
|
||||
3.6 3109.5670868574907 14.04444910049332
|
||||
3.7 3109.5670868574907 14.04444910049332
|
||||
3.8 3109.5670868574907 14.04444910049332
|
||||
3.9 3109.5670868574907 14.04444910049332
|
||||
4 3109.5670868574907 14.04444910049332
|
||||
4.1 3109.5670868574907 14.04444910049332
|
||||
4.2 3109.56081232441 14.044457006887326
|
||||
4.3 3109.54607428676 14.044509628253184
|
||||
4.4 3109.54607428676 14.044509628253184
|
||||
4.5 3109.54607428676 14.044509628253184
|
||||
4.6 3010.924278635941 14.180027540278587
|
||||
4.7 2573.9460087250704 14.643786154466255
|
||||
4.8 2518.2866827294038 14.778605579521763
|
||||
4.9 2442.1126994920264 14.903758195593353
|
||||
5 2243.3477816110712 15.368676425358123
|
||||
5.1 2104.6981673146165 15.729927069336659
|
||||
5.2 2163.6624065418246 15.568353797137688
|
||||
5.3 2185.3761809388848 15.643354465438343
|
||||
5.4 2103.0769197011514 15.694265415640338
|
||||
5.5 1957.5853457383662 15.855903756335879
|
||||
5.6 2267.6231465900996 15.674997967797266
|
||||
5.7 2299.1506146624724 15.612534606100903
|
||||
5.8 2207.8881958417414 15.921007589058066
|
||||
5.9 2113.3794873402385 16.052557782658717
|
||||
6 2073.366678166548 16.14759063922344
|
||||
6.1 2123.1218237946146 16.165104134559247
|
||||
6.2 2126.932186943554 16.169813518410933
|
||||
6.3 2180.1838801836025 16.07253782427165
|
||||
6.4 2154.4940023667496 16.162888372399838
|
||||
6.5 2149.557135367205 16.27026294531356
|
||||
6.6 2166.8733069454343 16.341581831788087
|
||||
6.7 2181.001887959006 16.412269155143107
|
||||
6.8 2175.9662305862216 16.54111154084583
|
||||
6.9 2209.047402807455 16.519449497097526
|
||||
7 2249.505525643498 16.42328106616917
|
||||
7.1 2258.0124085202992 16.334598156407267
|
||||
7.2 2292.4002981436965 16.271759766539503
|
||||
7.3 2299.7848852114 16.27439817656667
|
||||
7.4 2260.373768053577 16.411674137200603
|
||||
7.5 2249.1819560927115 16.584629315976066
|
||||
7.6 2246.793767633151 16.600679629553746
|
||||
7.7 2184.8605994034897 16.691203959603623
|
||||
7.8 2088.779300312599 17.218207227449035
|
||||
7.9 2083.6032437208178 17.207416660380268
|
||||
8 2145.1485321205287 17.148168728300252
|
||||
8.1 2153.5251545559317 17.12340002351689
|
||||
8.2 2110.2820349349086 17.20606083062468
|
||||
8.3 2064.9009885940964 17.26631879406998
|
||||
8.4 1977.4891327852956 17.31645188912593
|
||||
8.5 1976.4802750697415 17.30036643592727
|
||||
8.6 1982.5944497739592 17.27181669176121
|
||||
8.7 1945.175525841346 17.398178971277964
|
||||
8.8 1913.3119629184475 17.724471450748528
|
||||
8.9 1898.7928188805793 17.75532289592472
|
||||
9 1873.3328465173909 17.839179567924326
|
||||
9.1 1866.6282773672444 17.889050973548834
|
||||
9.2 1850.5370697807853 17.967287079236144
|
||||
9.3 1867.679150875969 17.8751857499983
|
||||
9.4 1808.3931890407366 18.067516422394913
|
||||
9.5 1808.6053673902936 18.09112819140214
|
||||
9.6 1810.953471406102 18.07127043086254
|
||||
9.7 1819.5170321650442 18.019543750728342
|
||||
9.8 1817.5782336800605 18.042214392171058
|
||||
9.9 1824.5259351010998 18.01946350533442
|
||||
10 1825.080492306208 18.009377003357642
|
||||
10.1 1979.379964721332 18.02526861067448
|
||||
10.2 2461.703244598765 17.735303395137215
|
||||
10.3 1593.0706045104266 18.13392437049688
|
||||
10.4 1520.119817052964 18.37350790582638
|
||||
10.5 1534.5855740666552 18.44465224352386
|
||||
10.6 1554.7449461731364 18.555226739719494
|
||||
10.7 1564.4840142499602 18.490626924809753
|
||||
10.8 1410.1907810521527 18.695156389511308
|
||||
10.9 1250.982945502928 18.95477919524238
|
||||
11 1209.8294126528372 19.09167911066742
|
||||
11.1 1172.959243752968 19.262661962899045
|
||||
11.2 1175.5307640372744 19.19931779174455
|
||||
11.3 1123.5155404944207 19.383153835725558
|
||||
11.4 1137.2366658629117 19.3044531328702
|
||||
11.5 1168.5230325434275 19.135279026331276
|
||||
11.6 1155.7443234483815 19.235970709643304
|
||||
11.7 1235.4386471193418 18.956807620308766
|
||||
11.8 867.6292499480652 19.843805611266074
|
||||
11.9 839.4163414797009 19.905536202920466
|
||||
12 845.0859057825854 19.909687569771815
|
||||
12.1 840.7978230848371 19.976474484704365
|
||||
12.2 803.0463692030706 20.165928144285285
|
||||
12.3 811.6581850343263 20.07166724460271
|
||||
12.4 766.5476990963319 20.492398192076607
|
||||
12.5 782.6957084174185 20.461007018097597
|
||||
12.6 815.1507037680041 20.30602252936726
|
||||
12.7 774.9535636648268 20.423384902184885
|
||||
12.8 718.4546166829891 20.68983976901323
|
||||
12.9 687.7475357856522 20.762281279098943
|
||||
13 637.5485016396605 21.0012597833238
|
||||
13.1 626.5558501874604 21.07532934755218
|
||||
13.2 579.4788045193297 21.56068368389076
|
||||
13.3 578.1953116591485 21.64376871627623
|
||||
13.4 627.7682461444484 21.487952693160302
|
||||
13.5 642.1871249678499 21.485453787978624
|
||||
13.6 635.7893044302983 21.627903310993972
|
||||
13.7 771.5231678339666 21.332736957209633
|
||||
13.8 626.5934703550372 21.698508325519228
|
||||
13.9 626.5693774854582 21.68923342397489
|
||||
14 640.5505167774611 21.701036248104458
|
||||
14.1 616.9093133087014 21.828618966129667
|
||||
14.2 622.54003560017 21.820662995136747
|
||||
14.3 596.1647342414531 22.064785221215786
|
||||
14.4 600.1083375499564 22.009532701183236
|
||||
14.5 589.6788163283475 21.943585767916844
|
||||
14.6 603.1800436500871 21.63380238949406
|
||||
14.7 592.2219586029004 21.722281012764167
|
||||
14.8 580.9191730348805 21.918369621583164
|
||||
14.9 569.3682006890036 22.098956864197252
|
||||
15 561.5964114805912 22.209196302862736
|
||||
15.1 574.279947520972 22.119921657800525
|
||||
15.2 558.4821252275244 22.521533335838
|
||||
15.3 556.6538923017569 22.740005944239098
|
||||
15.4 540.5893094383111 22.896710103652147
|
||||
15.5 520.5979342256252 23.124416567274633
|
||||
15.6 490.0723336597816 23.299764216942542
|
||||
15.7 473.39570983944674 23.38983433398789
|
||||
15.8 476.804655423987 23.508666373385438
|
||||
15.9 458.8970916800214 23.742431959884925
|
||||
16 447.24166875643 23.96218373569662
|
||||
16.1 443.41423843581833 24.15319207079214
|
||||
16.2 437.76530328772947 24.1991528424422
|
||||
16.3 391.4998720421811 24.374517524396307
|
||||
16.4 394.56211234271126 24.2928644131229
|
||||
16.5 381.09410593987417 24.414270360662485
|
||||
16.6 380.7581075399652 24.402584842950873
|
||||
16.7 379.3422648830723 24.58282800748934
|
||||
16.8 349.1225477925173 24.78311846527824
|
||||
16.9 368.36059582987104 23.995260751647667
|
||||
17 477.000137800728 23.304478623994918
|
||||
17.1 482.81961479107315 23.320842727089392
|
||||
17.2 456.78388729374404 23.833303348294358
|
||||
17.3 455.6564485522515 23.70743461812021
|
||||
17.4 495.73542061124954 23.28313848192839
|
||||
17.5 470.67706530448714 23.845459044846677
|
||||
17.6 478.4415842013889 23.81486059797067
|
||||
17.7 400.34034948510214 24.262131170239204
|
||||
17.8 412.9168167586658 24.21480343147695
|
||||
17.9 404.97503328782835 24.323453193315768
|
||||
18 406.97875536661127 24.266847887184227
|
||||
18.1 404.377394918289 24.256050631380063
|
||||
18.2 315.1528975620252 24.678651086785923
|
||||
18.3 315.16784677706556 24.538104162391143
|
||||
18.4 303.23475287620687 24.601634777731928
|
||||
18.5 309.056419901472 24.394412936566034
|
||||
18.6 317.0466487614752 24.328332857541472
|
||||
18.7 317.92939312776986 24.287034383905397
|
||||
18.8 306.68290665064103 24.373091623065623
|
||||
18.9 295.8407417176124 24.31470583440017
|
||||
19 298.9826704455524 24.306628656710835
|
||||
19.1 322.23519943019943 23.999003541662034
|
||||
19.2 331.550159638137 24.071237939772814
|
||||
19.3 323.8829250628166 24.058442860767546
|
||||
19.4 326.8738982866413 24.00541733933894
|
||||
19.5 308.4419994212963 24.41892747660213
|
||||
19.6 318.51394929417927 24.32345540955802
|
||||
19.7 328.5305497437876 24.267542987218125
|
||||
19.8 367.433607908456 24.085109940103067
|
||||
19.9 301.69715419980605 24.348648388401216
|
||||
20 304.4066963066833 24.308397824608093
|
||||
20.1 305.8049913936372 24.32718954490955
|
||||
20.2 307.250702778767 24.307538213576667
|
||||
20.3 301.52800320018207 24.32779466455866
|
||||
20.4 321.2291616586539 24.189418530793755
|
||||
20.5 335.49892401917145 24.127188792613126
|
||||
20.6 344.289797701013 23.936922558038436
|
||||
20.7 359.30811239959246 23.594356527158553
|
||||
20.8 353.80882006271764 23.616621603292057
|
||||
20.9 351.40100654874954 23.60407063161174
|
||||
21 344.36799343146566 23.67644876091925
|
||||
21.1 347.2128489286562 23.752677514429656
|
||||
21.2 346.5068567238446 23.786739474582888
|
||||
21.3 338.0500685294001 23.81765661859085
|
||||
21.4 362.1936833872468 23.633540973845374
|
||||
21.5 389.6869656635802 23.510132822923744
|
||||
21.6 374.47897006815845 23.650425489700428
|
||||
21.7 401.4100021886871 23.519871921522697
|
||||
21.8 456.74271340317347 23.502612895124415
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80.8 162.79535935274214 32.637845698137724
|
||||
80.9 261.27044702388025 32.421610231680404
|
||||
81 175.02739493065448 32.50372385003492
|
||||
81.1 135.7943636361388 33.15088160420685
|
||||
81.2 132.6083155270655 33.610078398963495
|
||||
81.3 186.20223482262983 33.33076613247312
|
||||
81.4 269.22167862407014 32.620033821596465
|
||||
81.5 264.4723016455959 32.45885483315073
|
||||
81.6 357.061833909564 31.666228022211037
|
||||
81.7 625.3139108128561 31.261434690386487
|
||||
81.8 196.73818127522554 32.53155436826168
|
||||
81.9 182.35158238366571 31.530824014354472
|
||||
82 252.49116618688672 31.667734228002196
|
||||
82.1 383.10415040608194 31.194535243436636
|
||||
82.2 370.09824900087057 31.162266026822156
|
||||
82.3 462.48473896506016 31.13567266128183
|
||||
82.4 246.767420861032 34.91256305815402
|
||||
82.5 182.46542139027386 34.994150946167494
|
||||
82.6 155.79859377473093 35.241863255148715
|
||||
82.7 168.3076110665954 35.368490100214835
|
||||
82.8 177.92140944028964 34.8024810931611
|
||||
82.9 188.92434950241375 35.146062312743126
|
||||
83 209.8539805293408 35.21342852847614
|
||||
83.1 200.84491088210268 36.15799095668753
|
||||
83.2 157.68469527787673 35.05802817007174
|
||||
83.3 165.32566325874484 34.818258774859494
|
||||
83.4 159.49793908525245 34.493237049573956
|
||||
83.5 161.19677929131055 34.62729810852782
|
||||
83.6 138.16361836963836 34.6601903190968
|
||||
83.7 100.46241277401867 34.726519453659186
|
||||
83.8 115.53131778747229 35.20126292445994
|
||||
83.9 129.20362169594807 34.981057319227304
|
||||
84 226.7563388334916 34.67943563590647
|
||||
84.1 221.09320263038143 34.81372831973283
|
||||
84.2 165.706301007538 34.23995834496084
|
||||
84.3 180.10774751948796 34.62307826002309
|
||||
84.4 192.47566449529128 34.4962287045958
|
||||
84.5 238.08899881786172 34.8740093007637
|
||||
84.6 186.60480063162794 34.05205751334771
|
||||
84.7 114.86446542863645 34.514775938802195
|
||||
84.8 90.47555780606997 34.649870938516855
|
||||
84.9 81.94266436174424 34.550470601512046
|
||||
85 140.37883427063545 31.015948859341144
|
||||
85.1 460.5697980596114 29.987218013820154
|
||||
85.2 1284.5254536146724 29.57509860512147
|
||||
85.3 185.27060577170386 30.57864069719035
|
||||
85.4 170.2665349126504 30.89208673354289
|
||||
85.5 344.08249835539334 30.955225244767195
|
||||
85.6 93.28726195245726 31.408113260961464
|
||||
85.7 113.86973322748494 31.328874309914777
|
||||
85.8 189.4987411957898 29.988163538537776
|
||||
85.9 257.5235762405033 29.388722990106714
|
||||
86 256.8678697891936 29.700237420342766
|
||||
86.1 256.89923768152494 30.32614018365322
|
||||
86.2 277.17765607688347 30.680449932919995
|
||||
86.3 307.065827484469 30.585777320724755
|
||||
86.4 268.24400111783797 31.18901727134642
|
||||
86.5 710.3572130470482 29.852819800272535
|
||||
86.6 754.7735728523663 30.002894688035482
|
||||
86.7 795.5223900957582 30.195587028499446
|
||||
86.8 749.684146201824 30.44608040163062
|
||||
86.9 728.9506406670424 30.641013539758053
|
||||
87 702.1777043145576 30.852513332803557
|
||||
87.1 678.7707715678418 31.440246328884708
|
||||
87.2 99.70718663441752 32.34544216279625
|
||||
87.3 83.0318650705326 32.49936434370542
|
||||
87.4 67.96186577536403 32.95151763815105
|
||||
87.5 55.978450211696746 33.76876933647588
|
||||
87.6 52.11264361249604 34.24173481957626
|
||||
87.7 51.69099974774455 34.32514689949135
|
||||
87.8 51.327974648326204 34.449798229068506
|
||||
87.9 52.01833257904005 34.377044466374805
|
||||
88 52.35088727148624 33.88053486321243
|
||||
88.1 51.098948267845834 33.683117774559506
|
||||
88.2 50.4812771298275 33.99208104529416
|
||||
88.3 54.589421840376694 33.1329904267974
|
||||
88.4 54.621899223943494 33.140694757443974
|
||||
88.5 55.84583625158278 33.042179033990735
|
||||
88.6 56.746379342750885 32.95040407166125
|
||||
88.7 56.64425663778094 33.01223443612084
|
||||
88.8 54.7601998506252 33.12881628216922
|
||||
88.9 53.880069172404255 33.21524509699991
|
||||
89 55.918791263552556 33.032998919010105
|
||||
89.1 58.12812976070355 32.88339257450915
|
||||
89.2 67.25946601187414 31.314469741545874
|
||||
89.3 67.6685074802812 31.429563151755275
|
||||
89.4 66.41161861550496 31.537527701399558
|
||||
89.5 64.18658580889917 31.68891024683445
|
||||
89.6 61.842431895147456 32.31031444836124
|
||||
89.7 64.50500767586163 32.116676378107734
|
||||
89.8 63.375197214720494 32.16446060210689
|
||||
89.9 67.36932650677296 32.057259394588094
|
||||
|
|
@ -0,0 +1,900 @@
|
|||
time mse psnr
|
||||
0.1 14206.126324452456 6.855697381973466
|
||||
0.2 13260.454830753895 7.0909757113198655
|
||||
0.3 13260.454830753895 7.0909757113198655
|
||||
0.4 13260.454830753895 7.0909757113198655
|
||||
0.5 13260.454830753895 7.0909757113198655
|
||||
0.6 13260.454830753895 7.0909757113198655
|
||||
0.7 13260.454830753895 7.0909757113198655
|
||||
0.8 13260.454830753895 7.0909757113198655
|
||||
0.9 13260.454830753895 7.0909757113198655
|
||||
1 13260.454830753895 7.0909757113198655
|
||||
1.1 13260.454830753895 7.0909757113198655
|
||||
1.2 13260.454830753895 7.0909757113198655
|
||||
1.3 13260.454830753895 7.0909757113198655
|
||||
1.4 13260.454830753895 7.0909757113198655
|
||||
1.5 13260.454830753895 7.0909757113198655
|
||||
1.6 13260.454830753895 7.0909757113198655
|
||||
1.7 13260.454830753895 7.0909757113198655
|
||||
1.8 13260.454830753895 7.0909757113198655
|
||||
1.9 13260.454830753895 7.0909757113198655
|
||||
2 13260.454830753895 7.0909757113198655
|
||||
2.1 13260.454830753895 7.0909757113198655
|
||||
2.2 13260.454830753895 7.0909757113198655
|
||||
2.3 4427.646354661285 13.310360514304872
|
||||
2.4 3114.789180676737 14.034945053223506
|
||||
2.5 3112.44583456988 14.039582227912966
|
||||
2.6 3112.44583456988 14.039582227912966
|
||||
2.7 3112.44583456988 14.039582227912966
|
||||
2.8 3109.6182359800373 14.044347161787517
|
||||
2.9 3109.5670868574907 14.04444910049332
|
||||
3 3109.5670868574907 14.04444910049332
|
||||
3.1 3109.5670868574907 14.04444910049332
|
||||
3.2 3109.5670868574907 14.04444910049332
|
||||
3.3 3109.5670868574907 14.04444910049332
|
||||
3.4 3109.5670868574907 14.04444910049332
|
||||
3.5 3109.5670868574907 14.04444910049332
|
||||
3.6 3109.5670868574907 14.04444910049332
|
||||
3.7 3109.5670868574907 14.04444910049332
|
||||
3.8 3109.5670868574907 14.04444910049332
|
||||
3.9 3109.5670868574907 14.04444910049332
|
||||
4 3109.5670868574907 14.04444910049332
|
||||
4.1 3109.5670868574907 14.04444910049332
|
||||
4.2 3109.5670868574907 14.04444910049332
|
||||
4.3 3109.6193196645495 14.044242593975733
|
||||
4.4 3109.54607428676 14.044509628253184
|
||||
4.5 3109.54607428676 14.044509628253184
|
||||
4.6 3095.9957548868315 14.06223059735287
|
||||
4.7 3079.4658997482397 14.069432752990972
|
||||
4.8 3079.4688060650133 14.069426959953038
|
||||
4.9 3061.614935106046 14.095355230819953
|
||||
5 3061.197599405963 14.095966986893533
|
||||
5.1 3059.5488401689613 14.099270513735148
|
||||
5.2 3091.0747999886235 13.969303398617551
|
||||
5.3 3095.8039195923348 13.932801860649564
|
||||
5.4 3073.1306457987102 13.952629633018253
|
||||
5.5 3152.3494490814937 13.908781166837404
|
||||
5.6 3055.383018409703 13.931315309101759
|
||||
5.7 3048.8302315185783 13.910849829247153
|
||||
5.8 3112.939660197056 13.822821476354573
|
||||
5.9 3276.9537785023936 13.66554135935598
|
||||
6 3271.6323204658324 13.665052176205169
|
||||
6.1 3162.5548888468466 13.789461968856314
|
||||
6.2 3469.6248102643244 13.588912093787332
|
||||
6.3 3359.5458326408675 13.656298715787228
|
||||
6.4 3383.286077155548 13.644152634100733
|
||||
6.5 3369.9996411047805 13.716210891790043
|
||||
6.6 3328.9410919199117 13.844320042860659
|
||||
6.7 3166.410132298096 14.005874964088154
|
||||
6.8 3078.4513507537986 14.100500569939715
|
||||
6.9 3103.3324239523977 14.069765026384252
|
||||
7 3153.1563327373183 13.978697651563149
|
||||
7.1 3205.8415262444596 13.874582510653443
|
||||
7.2 3252.9682811881726 13.765733038196275
|
||||
7.3 3276.780548024988 13.705711727267554
|
||||
7.4 3261.5452084817193 13.67910431579382
|
||||
7.5 3236.4323986155628 13.6728315463792
|
||||
7.6 3232.643977771843 13.638618069689084
|
||||
7.7 3250.082776800906 13.598801700108753
|
||||
7.8 3268.9595889472544 13.574469164676897
|
||||
7.9 3280.321007562717 13.546505887392557
|
||||
8 3274.539306730275 13.527099554282485
|
||||
8.1 3299.853692995212 13.48970469322622
|
||||
8.2 3278.6778496458523 13.507781485843815
|
||||
8.3 3230.365538676697 13.555159125263467
|
||||
8.4 3108.086438734074 13.691926559268044
|
||||
8.5 3116.7444623372703 13.683467969514341
|
||||
8.6 3123.4053491759655 13.677834532368925
|
||||
8.7 3079.680354864079 13.748180843228786
|
||||
8.8 3038.3067337987695 13.806961851116448
|
||||
8.9 2985.5263595951055 13.916737435723794
|
||||
9 2946.3923484117795 13.99169070116872
|
||||
9.1 2921.7758712705763 14.059056734320725
|
||||
9.2 2879.437024078031 14.167531676368764
|
||||
9.3 2865.8256565566635 14.210250185332532
|
||||
9.4 2889.4881011346556 14.187661140797617
|
||||
9.5 2772.0781769967753 14.488512797690204
|
||||
9.6 2763.2738554155794 14.48328450352847
|
||||
9.7 2771.0542223978123 14.467431474887501
|
||||
9.8 2773.365533841801 14.467894390982027
|
||||
9.9 2736.9362585321705 14.495877631521637
|
||||
10 2733.643587789847 14.500295903302778
|
||||
10.1 2893.8229962384257 14.424295619612732
|
||||
10.2 3330.557442179091 14.313362150924029
|
||||
10.3 2408.5183751533323 14.84068495050303
|
||||
10.4 2333.9936032837722 15.015825579540843
|
||||
10.5 2333.2271090782288 15.111342840946143
|
||||
10.6 2390.212758067228 15.015948421661282
|
||||
10.7 2337.06870573164 15.052442354208914
|
||||
10.8 2322.853346329436 15.06462088360587
|
||||
10.9 2301.7718725516384 15.09735031889567
|
||||
11 2296.197354483222 15.123195496160065
|
||||
11.1 2319.5453785192108 15.144316070177192
|
||||
11.2 2333.7827091865506 15.116661061576595
|
||||
11.3 2355.6995174748736 15.091252978626658
|
||||
11.4 2358.228162430259 15.078637111326316
|
||||
11.5 2387.2471338338873 15.01244835319294
|
||||
11.6 2396.635896125158 15.002761956110582
|
||||
11.7 2436.160294903945 15.07496519733987
|
||||
11.8 2466.165644920762 15.015229555173825
|
||||
11.9 2496.9245413649496 14.969797880110185
|
||||
12 2575.642420700281 14.879058305303126
|
||||
12.1 2654.0678472345876 14.857331679141328
|
||||
12.2 2729.900380571878 14.851441719758869
|
||||
12.3 2846.138867855235 14.546836698414053
|
||||
12.4 2800.676206003679 14.660226613679642
|
||||
12.5 2788.7376368980495 14.659008026716432
|
||||
12.6 2789.2802823777306 14.58813235286481
|
||||
12.7 2809.2268116269984 14.521544179735754
|
||||
12.8 2723.5747643760883 14.675973526473758
|
||||
12.9 2880.2956585846 14.427750418218999
|
||||
13 2666.631469202576 14.762315264769155
|
||||
13.1 2638.36124307534 14.834212266200556
|
||||
13.2 2634.00848921237 14.91332396387092
|
||||
13.3 2706.4211354958056 14.951811541710025
|
||||
13.4 2761.7863705138097 14.99566080452707
|
||||
13.5 2739.2988884560973 15.00315232285474
|
||||
13.6 2787.1489832744733 14.980952710860546
|
||||
13.7 3055.978383351634 14.895414924052577
|
||||
13.8 3364.610819743689 14.709482856607877
|
||||
13.9 3091.663568784129 14.862229867013696
|
||||
14 3378.767126971055 14.666673726498376
|
||||
14.1 3756.170176838498 14.493199828529562
|
||||
14.2 2501.505704942723 15.050957931997711
|
||||
14.3 2501.506076166311 15.02554218475431
|
||||
14.4 2517.110424135407 14.988263330469518
|
||||
14.5 2501.438429549007 14.987719651219209
|
||||
14.6 2517.4335180239 14.95974575934424
|
||||
14.7 2546.733978266461 14.912860506766334
|
||||
14.8 2642.825969130856 14.808468960226314
|
||||
14.9 2809.1467237580127 14.687911427304506
|
||||
15 2919.571236571106 14.610342637269945
|
||||
15.1 2952.5328781235157 14.612845865117672
|
||||
15.2 2916.98531075647 14.7977062618614
|
||||
15.3 2864.409289356799 15.032255603487373
|
||||
15.4 2898.0522695324867 14.97637068078092
|
||||
15.5 2898.7025693702517 14.913877310630017
|
||||
15.6 2897.748450669218 14.833371210724586
|
||||
15.7 2377.596258111744 15.336912965303139
|
||||
15.8 2308.9023630401234 15.49323464548213
|
||||
15.9 2382.0763212868987 15.334530375698845
|
||||
16 2312.833596532229 15.431779493538418
|
||||
16.1 2288.7117755074787 15.501159207636423
|
||||
16.2 2252.4040129021246 15.572022196533338
|
||||
16.3 2208.129512516323 15.656590274258585
|
||||
16.4 2207.5792660478987 15.622569079434943
|
||||
16.5 2199.4172811560225 15.659415378587369
|
||||
16.6 2159.596767049502 15.84078799756352
|
||||
16.7 2184.711865750633 15.459212308056278
|
||||
16.8 2264.423362194326 15.195861721167388
|
||||
16.9 2356.0992519389047 14.997755670049797
|
||||
17 2465.759660852425 14.837177145554353
|
||||
17.1 2476.2589669149647 14.814893630484518
|
||||
17.2 2455.1058669055674 14.84749639285038
|
||||
17.3 2486.624686918823 14.813148940812452
|
||||
17.4 2516.6480758349157 14.783589946762223
|
||||
17.5 2527.8346675421417 14.791295110579934
|
||||
17.6 2513.1591225219613 14.859206377109164
|
||||
17.7 2423.848246589605 14.974554707157974
|
||||
17.8 2386.2766399696307 15.043682071296908
|
||||
17.9 2354.99908302667 15.119869176858158
|
||||
18 2129.12385358549 15.570545038340509
|
||||
18.1 2157.037884800867 15.539367615601387
|
||||
18.2 2115.0772038595087 15.718207218476088
|
||||
18.3 2190.161886227841 15.51413284216907
|
||||
18.4 2135.061514695117 15.678624312812392
|
||||
18.5 2164.405149609746 15.616791238548956
|
||||
18.6 2160.1246965020578 15.661728201487168
|
||||
18.7 2155.123932625534 15.66466079940555
|
||||
18.8 2160.7795440729865 15.636843686547072
|
||||
18.9 2176.0931739425055 15.602294774936732
|
||||
19 2181.9553466657762 15.581703972439357
|
||||
19.1 2146.6024097321147 15.567191501456584
|
||||
19.2 2120.962964669397 15.57355996473506
|
||||
19.3 2091.6867494658118 15.620199821998986
|
||||
19.4 2087.9867149538027 15.614655762416943
|
||||
19.5 2056.3130045974794 15.892406909574786
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||||
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77 803.8812905834519 27.014059068323302
|
||||
77.1 790.4548983435226 27.189934804033985
|
||||
77.2 767.3307784801361 27.328698603351942
|
||||
77.3 862.9386549466801 27.470114214375652
|
||||
77.4 812.874096603949 26.13063112800717
|
||||
77.5 784.2431270032052 25.682531574766696
|
||||
77.6 755.5474856436965 25.400694776047843
|
||||
77.7 804.3301889813824 25.382652128148127
|
||||
77.8 830.1266423190684 25.20830950036579
|
||||
77.9 835.1515061011197 23.795364463949056
|
||||
78 879.7651107079971 23.485159135689344
|
||||
78.1 912.4351215401434 23.440858604223475
|
||||
78.2 888.8834427305912 23.20042495436039
|
||||
78.3 905.9147177582897 22.87314242923604
|
||||
78.4 966.5070375069246 22.53358826444873
|
||||
78.5 1024.6433429536642 22.01180022134635
|
||||
78.6 1049.1650823663542 21.644287645381567
|
||||
78.7 1064.8348205523898 21.44153863883194
|
||||
78.8 1051.808298499822 21.5556190658002
|
||||
78.9 1058.8402042898267 21.879024296216226
|
||||
79 1167.4562125697414 21.683507302503095
|
||||
79.1 1091.4487454618748 21.5810035604758
|
||||
79.2 1084.6506877547286 21.684568960643233
|
||||
79.3 1150.8392470545466 21.33318038202541
|
||||
79.4 1302.158971168685 20.817414985270684
|
||||
79.5 1213.5969368149533 21.007969816311437
|
||||
79.6 1047.195593294951 21.799025921138515
|
||||
79.7 1066.5479359320589 21.369739051280597
|
||||
79.8 1076.4577195117124 21.529523516246133
|
||||
79.9 1103.0147714491334 21.704078539408826
|
||||
80 1096.423231441912 21.7659369883673
|
||||
80.1 852.5828094086341 22.055056441097186
|
||||
80.2 765.3625766287788 22.613872198323932
|
||||
80.3 824.1447951660929 21.76063999847525
|
||||
80.4 880.8912350377889 21.632103487232435
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||||
80.5 872.1093232505341 21.939119497917513
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||||
80.6 807.9889491581592 21.92902195570431
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||||
80.7 837.2038067203822 21.84720149072967
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||||
80.8 877.5554156279678 22.02719813617401
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||||
80.9 986.3725420673078 21.77777974254547
|
||||
81 945.4627455286483 21.72379894082192
|
||||
81.1 750.6850071348726 22.72320063043012
|
||||
81.2 748.8689223992958 22.896546825404553
|
||||
81.3 805.9605730526866 22.642115441845654
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||||
81.4 884.101079195849 21.865685733830556
|
||||
81.5 868.0354450948678 22.036890652609586
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||||
81.6 1036.214655584738 21.30990165810698
|
||||
81.7 1232.8695866225466 21.430983720977977
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||||
81.8 840.9097925940766 22.426167019368183
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||||
81.9 848.3543773247072 21.671332451081227
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||||
82 951.9034791468819 21.789753977726754
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||||
82.1 1005.7374894769904 21.38206573144782
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||||
82.2 993.6345856209441 21.456599588750677
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||||
82.3 1058.3263949108698 21.35710761910901
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||||
82.4 876.1765763616847 25.194772741030167
|
||||
82.5 878.3744390778331 25.317014229806997
|
||||
82.6 805.7840785380065 25.68438530508172
|
||||
82.7 816.6904845036007 26.216766365856895
|
||||
82.8 853.5548764813827 25.557580874683847
|
||||
82.9 841.2297737862062 25.93158614563597
|
||||
83 826.460944350467 26.295104189827313
|
||||
83.1 812.3736391683485 27.33645911648078
|
||||
83.2 701.7786235013057 26.500699856894208
|
||||
83.3 684.9919006459716 26.88116435790732
|
||||
83.4 713.639808236388 26.477858882425473
|
||||
83.5 709.1494645012265 26.46175188629328
|
||||
83.6 835.3718841504432 26.273732629978902
|
||||
83.7 842.6386621928418 26.104046848367123
|
||||
83.8 840.2952218858816 26.645566123845928
|
||||
83.9 804.5651698520101 26.493666186358592
|
||||
84 826.0211099982193 26.298038413841148
|
||||
84.1 793.4309689577398 26.582979651251005
|
||||
84.2 745.0069496997664 26.0432280423903
|
||||
84.3 763.4683394295072 26.41277441865885
|
||||
84.4 763.0220110448322 26.65943481016573
|
||||
84.5 796.0861195443575 27.086748930249396
|
||||
84.6 855.4209150319524 26.552194845547294
|
||||
84.7 819.1646506880144 26.835509663554628
|
||||
84.8 882.673203100269 26.651689283664076
|
||||
84.9 943.5677837132005 26.259783450491508
|
||||
85 1015.1079360062521 22.69501110867473
|
||||
85.1 1209.1043328708652 21.99484457596761
|
||||
85.2 2068.605069778312 21.428097289188695
|
||||
85.3 1033.3067708580643 22.076476578589965
|
||||
85.4 971.162851723251 22.16757051090736
|
||||
85.5 1149.2172796350706 22.184280624235324
|
||||
85.6 905.4208719135803 22.715582790311778
|
||||
85.7 919.7591337003404 22.64326370383759
|
||||
85.8 873.9587540187757 21.847200759656694
|
||||
85.9 909.5277245444563 21.11810745892578
|
||||
86 913.4375106837605 21.122702534096657
|
||||
86.1 926.943251226654 21.13484685991835
|
||||
86.2 924.9215450152344 20.74560564927575
|
||||
86.3 844.0970388176637 21.001621166407194
|
||||
86.4 765.9525129590061 21.921003594047026
|
||||
86.5 1186.2536958145379 20.433722114738437
|
||||
86.6 1388.9977290825814 20.075747572947837
|
||||
86.7 1405.2209102217869 20.861919692115496
|
||||
86.8 1443.2089464995845 20.797119069112746
|
||||
86.9 1441.914128284267 20.837478613751255
|
||||
87 1448.4833100986268 20.882143797070647
|
||||
87.1 1755.8488256395415 20.700795125113448
|
||||
87.2 1185.1325056386515 21.59115043527269
|
||||
87.3 1163.4454457873337 21.734969360830128
|
||||
87.4 1126.661081965713 21.94409289968477
|
||||
87.5 1107.0252857411363 22.166415749505305
|
||||
87.6 1097.3956457245172 22.193830008321058
|
||||
87.7 763.3848946833451 22.906478597121627
|
||||
87.8 743.4684729270538 23.062133526513072
|
||||
87.9 751.5026000366017 23.200583421218916
|
||||
88 750.3293175624209 23.61096197503522
|
||||
88.1 751.5994862149809 23.230038485667805
|
||||
88.2 749.7976362674106 23.823158784017394
|
||||
88.3 770.2105301321621 22.481878339419925
|
||||
88.4 780.4007683775521 22.35643384070336
|
||||
88.5 790.5189081419159 22.228968912278837
|
||||
88.6 805.4410216840771 22.075676386519675
|
||||
88.7 815.0531845273424 22.005427090157394
|
||||
88.8 826.1642069657131 21.947264519409114
|
||||
88.9 836.746607077497 21.942400027181773
|
||||
89 858.9734997724754 21.774330486267438
|
||||
89.1 895.6692150032644 21.59249737782129
|
||||
89.2 1017.6241152531294 20.080419368145456
|
||||
89.3 920.6230197750559 20.595194387800138
|
||||
89.4 905.486924484525 21.327288630746093
|
||||
89.5 935.1611866640947 21.222436503050343
|
||||
89.6 889.5898948688273 21.163563718354936
|
||||
89.7 963.7102500214334 20.318815120448793
|
||||
89.8 977.1628588900677 20.274861735615044
|
||||
89.9 979.0619038414137 20.207954206854765
|
||||
|
|
@ -0,0 +1,900 @@
|
|||
time mse psnr
|
||||
0.1 14530.928712495548 6.762178018524382
|
||||
0.2 13260.454830753895 7.0909757113198655
|
||||
0.3 13260.454830753895 7.0909757113198655
|
||||
0.4 13260.454830753895 7.0909757113198655
|
||||
0.5 13260.454830753895 7.0909757113198655
|
||||
0.6 13260.454830753895 7.0909757113198655
|
||||
0.7 13260.454830753895 7.0909757113198655
|
||||
0.8 13260.454830753895 7.0909757113198655
|
||||
0.9 13260.454830753895 7.0909757113198655
|
||||
1 13260.454830753895 7.0909757113198655
|
||||
1.1 13260.454830753895 7.0909757113198655
|
||||
1.2 13260.454830753895 7.0909757113198655
|
||||
1.3 13260.454830753895 7.0909757113198655
|
||||
1.4 13260.454830753895 7.0909757113198655
|
||||
1.5 13260.454830753895 7.0909757113198655
|
||||
1.6 13260.454830753895 7.0909757113198655
|
||||
1.7 13260.454830753895 7.0909757113198655
|
||||
1.8 13260.454830753895 7.0909757113198655
|
||||
1.9 13260.454830753895 7.0909757113198655
|
||||
2 13260.454830753895 7.0909757113198655
|
||||
2.1 13260.454830753895 7.0909757113198655
|
||||
2.2 13260.454830753895 7.0909757113198655
|
||||
2.3 4427.646354661285 13.310360514304872
|
||||
2.4 3114.789180676737 14.034945053223506
|
||||
2.5 3112.44583456988 14.039582227912966
|
||||
2.6 3112.44583456988 14.039582227912966
|
||||
2.7 3112.44583456988 14.039582227912966
|
||||
2.8 2926.5452849621124 14.48121803056858
|
||||
2.9 2926.5452849621124 14.48121803056858
|
||||
3 2926.5452849621124 14.48121803056858
|
||||
3.1 2927.552336392549 14.478778467575852
|
||||
3.2 2923.247835660514 14.487461666001405
|
||||
3.3 2923.312461667062 14.487329521960795
|
||||
3.4 2923.312461667062 14.487329521960795
|
||||
3.5 2835.834718698065 14.726176590883666
|
||||
3.6 2835.834718698065 14.726176590883666
|
||||
3.7 2835.834718698065 14.726176590883666
|
||||
3.8 2835.834718698065 14.726176590883666
|
||||
3.9 2734.8162209535253 15.071459822051338
|
||||
4 2734.8674221346746 15.071355165523444
|
||||
4.1 2734.8674221346746 15.071355165523444
|
||||
4.2 2519.3338043338476 15.472920942366047
|
||||
4.3 2519.3338043338476 15.472920942366047
|
||||
4.4 2489.417496686056 15.540448340569231
|
||||
4.5 2489.417496686056 15.540448340569231
|
||||
4.6 2477.6994426143556 15.588630563311295
|
||||
4.7 2477.6994426143556 15.588630563311295
|
||||
4.8 2477.6994426143556 15.588630563311295
|
||||
4.9 2436.4104689725787 15.715626564153059
|
||||
5 2436.3656264714905 15.715691548058622
|
||||
5.1 2430.2045972321143 15.731470314069393
|
||||
5.2 2453.8085967300763 15.546892585669543
|
||||
5.3 2443.9650498575497 15.52561377926777
|
||||
5.4 2410.6932229468384 15.621439575007711
|
||||
5.5 2468.600876835035 15.592224444521147
|
||||
5.6 2355.3411307969286 15.637680286440908
|
||||
5.7 2310.571840982609 15.7154646684664
|
||||
5.8 2302.12776825637 15.760787692814368
|
||||
5.9 2436.423669809967 15.559413397370538
|
||||
6 2429.987311575064 15.554940756759624
|
||||
6.1 2319.9166716375835 15.721011202856603
|
||||
6.2 2324.588348468661 15.712670049221153
|
||||
6.3 2352.519322904301 15.621804152723595
|
||||
6.4 2384.8590264299423 15.468933455670385
|
||||
6.5 2396.918960831157 15.510661452745515
|
||||
6.6 2465.247214407249 15.65251538747597
|
||||
6.7 2366.5671545955006 15.77087837463297
|
||||
6.8 2396.1267723295546 15.669299076124048
|
||||
6.9 2383.039036755104 15.625965869098737
|
||||
7 2322.790818074351 15.613150229665603
|
||||
7.1 2397.5199032773426 15.459734563929045
|
||||
7.2 2463.8583050782486 15.350557706963315
|
||||
7.3 2493.4384363005497 15.297115536133145
|
||||
7.4 2491.1574001612453 15.320971253684228
|
||||
7.5 2498.5957956063035 15.26646318909284
|
||||
7.6 2490.39827059097 15.21000344256719
|
||||
7.7 2486.955148818356 15.167467413387303
|
||||
7.8 2496.0026146278487 15.12599249850933
|
||||
7.9 2505.13957658179 15.097880525575617
|
||||
8 2217.2231171602957 15.783475409380078
|
||||
8.1 2295.204558763157 15.691936929682452
|
||||
8.2 2335.5374811426677 15.688813980106628
|
||||
8.3 2377.3377368851893 15.706667731076486
|
||||
8.4 2375.79119534465 15.771533254465806
|
||||
8.5 2391.502083630104 15.754350632868304
|
||||
8.6 2388.6818199860522 15.76476965839165
|
||||
8.7 2222.1888469946975 16.36542729455924
|
||||
8.8 2210.0110091825936 16.43430506962247
|
||||
8.9 2203.042872719809 16.467750949097198
|
||||
9 2149.3373313103434 16.641509145120178
|
||||
9.1 2116.0663240320314 16.747779893347193
|
||||
9.2 2109.1855688607943 16.775261088196388
|
||||
9.3 2086.112953602307 16.880246519529287
|
||||
9.4 2071.3252524904046 16.862765575869744
|
||||
9.5 2060.9701742293846 16.842004536520296
|
||||
9.6 2061.93846655884 16.844580553709484
|
||||
9.7 2062.063227967217 16.836015196443732
|
||||
9.8 2071.319928824391 16.805825449409472
|
||||
9.9 2046.7924802770851 17.241144695886454
|
||||
10 1981.6987683627135 17.65721990164076
|
||||
10.1 2165.964494277264 17.5477674918559
|
||||
10.2 2613.9031995266505 17.434308041415445
|
||||
10.3 1647.0949210836104 18.264187532598495
|
||||
10.4 1536.422296872527 18.65412697329432
|
||||
10.5 1570.693362948619 18.591980074940338
|
||||
10.6 1617.4382682415323 18.53299115920779
|
||||
10.7 1613.879394487971 18.518812184399998
|
||||
10.8 1498.378893797978 18.576532466142954
|
||||
10.9 1346.5157606244068 18.70852859468745
|
||||
11 1323.7955960029876 18.754908023212437
|
||||
11.1 1314.5820254135012 18.71463874717043
|
||||
11.2 1310.730738824094 18.749086024909353
|
||||
11.3 1275.435588311669 18.78060083865643
|
||||
11.4 1246.9477497452715 18.82178149645944
|
||||
11.5 1241.0196071244857 18.907493515111575
|
||||
11.6 1225.0112262583095 19.018107548994088
|
||||
11.7 1231.5989631064026 19.071446134704637
|
||||
11.8 1238.1867786112098 19.028339203741815
|
||||
11.9 1188.6712133240346 19.36365670282243
|
||||
12 1179.0407324187838 19.398256461442717
|
||||
12.1 1234.4057912289293 19.405809926935845
|
||||
12.2 1313.7984873451846 19.424066663708786
|
||||
12.3 1334.36881880144 19.387129762525863
|
||||
12.4 1351.8135556025445 19.333703247313604
|
||||
12.5 1386.2654034974478 19.26567608995019
|
||||
12.6 1395.1843629313075 19.315508875410767
|
||||
12.7 1391.1164149305553 19.35098571401265
|
||||
12.8 1380.1554106446858 19.366242858618534
|
||||
12.9 1358.8197899849633 19.40558741176401
|
||||
13 1343.7803770353553 19.36088008654959
|
||||
13.1 1317.6605043007085 19.426722903647416
|
||||
13.2 1278.833463257261 19.664838002638273
|
||||
13.3 1308.365866546969 19.787178526885917
|
||||
13.4 1407.6404496082623 19.588246936640747
|
||||
13.5 1339.6372375306664 19.639271217078644
|
||||
13.6 1357.3296844209995 19.702476028143696
|
||||
13.7 1616.7514555140076 19.68050220750697
|
||||
13.8 1884.8552035108028 19.750512061025514
|
||||
13.9 1609.6606087765115 19.818455934618136
|
||||
14 1863.624729567308 19.973647156999085
|
||||
14.1 2233.0323753932216 19.86515720342239
|
||||
14.2 1059.5719511217949 20.10563745419783
|
||||
14.3 1074.4127050564855 20.07575668851272
|
||||
14.4 1078.3618828520694 20.039310757701166
|
||||
14.5 1076.063257891639 20.048092742533136
|
||||
14.6 1060.9464393647118 20.18140812013275
|
||||
14.7 1056.782802211934 20.212132019221443
|
||||
14.8 1093.178061886673 20.179159193585214
|
||||
14.9 1132.8435496052944 20.3046825991836
|
||||
15 1253.0059311688826 20.190268537241757
|
||||
15.1 1306.9319199979227 20.097544981231856
|
||||
15.2 1294.3896285043725 20.242391656000756
|
||||
15.3 1296.8957279177548 20.319289982783552
|
||||
15.4 1293.740226127236 20.300734621117854
|
||||
15.5 1281.656829136495 20.30158408797833
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73.9 231.40187315136316 30.22542744143658
|
||||
74 228.84159525302212 29.892009654005573
|
||||
74.1 221.8660084313915 30.069637733200995
|
||||
74.2 227.20754229091645 30.023396036980476
|
||||
74.3 261.39130469553754 29.78587178027311
|
||||
74.4 288.04923163687414 28.847008203358374
|
||||
74.5 287.71264961902006 28.988926311588234
|
||||
74.6 281.15259035547416 29.631693542784518
|
||||
74.7 254.23842902038322 29.861351577934034
|
||||
74.8 274.3259788532022 29.940628128159904
|
||||
74.9 272.5439138320902 28.847548332111455
|
||||
75 281.5617126548568 28.84031019742061
|
||||
75.1 290.7605786233282 28.78384283888659
|
||||
75.2 290.2278015287423 28.697205547467092
|
||||
75.3 453.5545884237826 28.250537276148577
|
||||
75.4 539.240551309049 27.87950126353671
|
||||
75.5 642.0386471863211 27.6193365047851
|
||||
75.6 454.89710389606915 27.70173221189658
|
||||
75.7 374.55111514328274 27.859518122873855
|
||||
75.8 379.24882338284465 27.820246409027064
|
||||
75.9 405.221628059628 27.826199390389977
|
||||
76 423.4844993141289 27.909287051531336
|
||||
76.1 428.37856067547574 27.94344706053064
|
||||
76.2 429.83632196287726 28.021649678831867
|
||||
76.3 428.7605285493828 28.154228062680605
|
||||
76.4 426.1738808781293 28.370135858425332
|
||||
76.5 423.02458222147203 28.7560213291396
|
||||
76.6 420.55812092764063 29.572100832432014
|
||||
76.7 424.4638299179923 31.836032126949956
|
||||
76.8 436.9948544832225 31.696393293593623
|
||||
76.9 484.7547163115305 29.631830765172438
|
||||
77 464.45311474903053 29.561764262022585
|
||||
77.1 453.62176680219216 29.555914431447054
|
||||
77.2 532.452271919021 29.472731335742374
|
||||
77.3 550.4607778742283 30.23188138209065
|
||||
77.4 533.1826436619579 30.459837260860372
|
||||
77.5 520.7769641797246 30.10960322314638
|
||||
77.6 527.9822317436293 29.822743094850615
|
||||
77.7 525.0500704089507 30.116268546096414
|
||||
77.8 547.697055325558 29.726586285616506
|
||||
77.9 585.6270719076448 29.18538801987556
|
||||
78 610.317179499545 29.172869916497042
|
||||
78.1 592.1953942728118 29.230437552266302
|
||||
78.2 583.9137854888811 29.06925723455208
|
||||
78.3 619.9717643043684 29.188445309289744
|
||||
78.4 587.9240955405193 29.147713634834012
|
||||
78.5 515.5622838887899 28.998681608032136
|
||||
78.6 481.13663430624797 28.90774398888287
|
||||
78.7 472.66667223112535 28.67304487745769
|
||||
78.8 529.7111641342196 28.49785136970287
|
||||
78.9 552.9909334070315 28.508722731735922
|
||||
79 494.3755276219729 28.61313942914341
|
||||
79.1 420.8800247432929 28.672279981500385
|
||||
79.2 347.9651203777896 28.904586183344136
|
||||
79.3 374.9955613178617 28.697101944256563
|
||||
79.4 338.610254320493 28.62948297969586
|
||||
79.5 320.6444500089031 28.68110321091891
|
||||
79.6 323.95370361714555 28.794561486175816
|
||||
79.7 320.85099864721826 28.560201700047795
|
||||
79.8 337.87285287323914 28.52542961803348
|
||||
79.9 342.76956093947854 28.78176250904158
|
||||
80 320.29927166181943 29.085747412438504
|
||||
80.1 342.9488759422483 28.633081419747143
|
||||
80.2 318.9288555268677 28.53095190074891
|
||||
80.3 321.2936045450499 28.257897620192054
|
||||
80.4 355.4843242892331 27.924546959645458
|
||||
80.5 300.618812927845 28.08135414611054
|
||||
80.6 282.22851640402416 28.21796306674866
|
||||
80.7 253.87766449776427 28.343275009971308
|
||||
80.8 269.17280951992325 28.359054343845646
|
||||
80.9 364.8405138592118 28.156026708738576
|
||||
81 285.3929471599003 28.279232509002284
|
||||
81.1 249.1528068242521 28.35279686457702
|
||||
81.2 249.02529788402182 28.466583185257246
|
||||
81.3 295.1756660657051 28.48255229867411
|
||||
81.4 376.1112464511119 28.539863385699594
|
||||
81.5 379.986182484568 28.525475308064163
|
||||
81.6 482.79138258250237 27.90641127811398
|
||||
81.7 735.1255233435224 27.752491320962903
|
||||
81.8 337.2637953194246 28.737919135693005
|
||||
81.9 332.00785595223965 27.436952314571503
|
||||
82 415.2713766223488 26.503665311849126
|
||||
82.1 532.6516011668052 26.272033290647958
|
||||
82.2 514.8007945428736 26.312429336684115
|
||||
82.3 606.2127602435502 26.19240220048461
|
||||
82.4 391.15727748347973 29.925425731373448
|
||||
82.5 330.2614977420663 30.2569499879347
|
||||
82.6 284.9889274073085 30.228015441061913
|
||||
82.7 276.85965426163335 30.80840000375803
|
||||
82.8 267.3149245830366 31.08063734315653
|
||||
82.9 282.0304664623892 31.10302825760865
|
||||
83 298.9693207279796 31.20847138429629
|
||||
83.1 289.776492560937 31.402027246832287
|
||||
83.2 241.6518987540559 31.435545048368574
|
||||
83.3 240.40577704574233 31.44445414730112
|
||||
83.4 226.30519982589425 31.88145693202119
|
||||
83.5 229.15301550381844 32.0689486008382
|
||||
83.6 207.04190895556349 32.10159886323273
|
||||
83.7 176.64272825409546 32.0642242233472
|
||||
83.8 178.5415553651274 31.95969455406669
|
||||
83.9 203.7404778015195 32.07375439277451
|
||||
84 280.5500908119658 30.56617079108158
|
||||
84.1 260.2981904503996 30.14879814535469
|
||||
84.2 206.99186330227133 30.273966912653904
|
||||
84.3 217.11199114880102 30.281540935123374
|
||||
84.4 225.5143142361111 30.12537181197388
|
||||
84.5 277.3203167289886 29.953103078426636
|
||||
84.6 238.46591931040282 29.901002747346897
|
||||
84.7 170.50714988425926 29.658745774589324
|
||||
84.8 151.30957128937163 29.59392203687835
|
||||
84.9 139.14559587933283 29.647960136191173
|
||||
85 194.2575960796534 28.406612840373878
|
||||
85.1 506.13663686589905 27.505258138316325
|
||||
85.2 1324.3574210217828 27.089884641560083
|
||||
85.3 231.95037994123928 28.28191823226666
|
||||
85.4 213.75733896456552 28.741648543257728
|
||||
85.5 382.9068748639799 28.548162571818008
|
||||
85.6 137.8501021139997 29.095599575542092
|
||||
85.7 156.2478807202635 28.87053174843208
|
||||
85.8 245.63698991225465 28.16548895394378
|
||||
85.9 323.84341268251416 27.71656603953323
|
||||
86 321.8373333259141 27.882455922148747
|
||||
86.1 326.87758002928143 27.502399118542066
|
||||
86.2 350.7589022064934 27.456619445477276
|
||||
86.3 387.18282569394984 27.321428946556498
|
||||
86.4 358.3901035236625 27.93189429105162
|
||||
86.5 776.2562127057611 26.640850414327005
|
||||
86.6 825.4824661062638 26.672682200717894
|
||||
86.7 868.0107598453823 26.673958781478426
|
||||
86.8 815.7360344823323 26.76830658869979
|
||||
86.9 781.1818335386001 26.89957872822358
|
||||
87 758.0932123125397 27.16701767513012
|
||||
87.1 720.5888690794161 27.878905320827887
|
||||
87.2 142.51388648998892 28.803581221554722
|
||||
87.3 125.82747039707978 29.025674892478737
|
||||
87.4 111.60472530122267 29.27522500652825
|
||||
87.5 99.21181377858896 30.02544956250307
|
||||
87.6 96.43180681683286 30.330500330476298
|
||||
87.7 94.85565731095679 30.337895301966288
|
||||
87.8 92.66442869084364 30.34677221598816
|
||||
87.9 91.89070432444997 30.264580453406253
|
||||
88 92.45807589674344 30.17793536090937
|
||||
88.1 92.77013350991214 30.034975155841437
|
||||
88.2 90.9325786690804 30.259612161797165
|
||||
88.3 85.15830928250634 30.345852817818077
|
||||
88.4 83.60464503699747 30.42187971105276
|
||||
88.5 81.31199380737576 30.511812186298673
|
||||
88.6 81.41998388780074 30.467933169845026
|
||||
88.7 81.08414565774375 30.569356849846162
|
||||
88.8 79.24791698816874 30.766502264134626
|
||||
88.9 78.29849010268282 30.85287334030162
|
||||
89 80.29609555535771 30.651426330280746
|
||||
89.1 82.19079686758073 30.47406310311828
|
||||
89.2 93.16128797743056 29.975052053596638
|
||||
89.3 80.40861762152777 30.269541954508483
|
||||
89.4 81.81169478470079 30.209166898668325
|
||||
89.5 78.70770083161865 30.399790660562868
|
||||
89.6 80.31033925165038 30.397827023818223
|
||||
89.7 82.04382227098337 30.33588530769543
|
||||
89.8 79.58033917127487 30.4182771352598
|
||||
89.9 82.2578359562543 30.328220774122723
|
||||
|
|
@ -0,0 +1,900 @@
|
|||
time mse psnr
|
||||
0.1 13358.50784362387 7.064527839726314
|
||||
0.2 13260.454830753895 7.0909757113198655
|
||||
0.3 13260.454830753895 7.0909757113198655
|
||||
0.4 13260.454830753895 7.0909757113198655
|
||||
0.5 13260.454830753895 7.0909757113198655
|
||||
0.6 13260.454830753895 7.0909757113198655
|
||||
0.7 13260.454830753895 7.0909757113198655
|
||||
0.8 13260.454830753895 7.0909757113198655
|
||||
0.9 13260.454830753895 7.0909757113198655
|
||||
1 13260.454830753895 7.0909757113198655
|
||||
1.1 13260.454830753895 7.0909757113198655
|
||||
1.2 13260.454830753895 7.0909757113198655
|
||||
1.3 13260.454830753895 7.0909757113198655
|
||||
1.4 13260.454830753895 7.0909757113198655
|
||||
1.5 13260.454830753895 7.0909757113198655
|
||||
1.6 13260.454830753895 7.0909757113198655
|
||||
1.7 13260.454830753895 7.0909757113198655
|
||||
1.8 13260.454830753895 7.0909757113198655
|
||||
1.9 13260.454830753895 7.0909757113198655
|
||||
2 13260.454830753895 7.0909757113198655
|
||||
2.1 13260.454830753895 7.0909757113198655
|
||||
2.2 13260.454830753895 7.0909757113198655
|
||||
2.3 5871.1837642202845 11.829796269996525
|
||||
2.4 3114.789180676737 14.034945053223506
|
||||
2.5 3112.44583456988 14.039582227912966
|
||||
2.6 3112.44583456988 14.039582227912966
|
||||
2.7 3112.44583456988 14.039582227912966
|
||||
2.8 3109.6182359800373 14.044347161787517
|
||||
2.9 3109.5670868574907 14.04444910049332
|
||||
3 3109.5670868574907 14.04444910049332
|
||||
3.1 3109.5670868574907 14.04444910049332
|
||||
3.2 3109.5670868574907 14.04444910049332
|
||||
3.3 3109.5670868574907 14.04444910049332
|
||||
3.4 3109.5670868574907 14.04444910049332
|
||||
3.5 3109.5670868574907 14.04444910049332
|
||||
3.6 3109.5670868574907 14.04444910049332
|
||||
3.7 3109.5670868574907 14.04444910049332
|
||||
3.8 3109.5670868574907 14.04444910049332
|
||||
3.9 3109.5670868574907 14.04444910049332
|
||||
4 3109.5670868574907 14.04444910049332
|
||||
4.1 3109.5670868574907 14.04444910049332
|
||||
4.2 3109.5670868574907 14.04444910049332
|
||||
4.3 3109.54607428676 14.044509628253184
|
||||
4.4 3109.54607428676 14.044509628253184
|
||||
4.5 3109.54607428676 14.044509628253184
|
||||
4.6 3108.604307472202 14.045584254401067
|
||||
4.7 2992.6169242269107 14.118707792763107
|
||||
4.8 2973.799055760822 14.156890010124007
|
||||
4.9 2965.626399337705 14.167373162464314
|
||||
5 2844.9342161037907 14.25868880166836
|
||||
5.1 3120.5046512815566 14.049493220861278
|
||||
5.2 3133.2357632829808 13.956057010927427
|
||||
5.3 3124.8759001562994 13.949896499999612
|
||||
5.4 3122.7992761257524 13.940939835935588
|
||||
5.5 3180.798603654737 13.898246796048259
|
||||
5.6 3075.631018629808 14.158066034987256
|
||||
5.7 3062.1045380633705 14.149942733937403
|
||||
5.8 3101.0351487812595 14.127119510027285
|
||||
5.9 3131.151196086578 14.081339019652905
|
||||
6 3109.7686531536883 14.099180725956034
|
||||
6.1 3168.9199519107115 14.119325492738481
|
||||
6.2 3155.511607819424 14.172986197123034
|
||||
6.3 3216.4074725239398 14.084039136294386
|
||||
6.4 3219.07954087033 14.080032935317355
|
||||
6.5 3155.850143612496 14.195034048927123
|
||||
6.6 3166.2503568301877 14.301644552782774
|
||||
6.7 3066.9807789129272 14.423401889273835
|
||||
6.8 3048.8890033807174 14.475220892333168
|
||||
6.9 3057.7700801158394 14.494126157846607
|
||||
7 3046.4344484879507 14.445694872847827
|
||||
7.1 3110.472342105393 14.3539753630333
|
||||
7.2 3186.2486626379978 14.23050039167408
|
||||
7.3 3222.314641141876 14.174535408923159
|
||||
7.4 3247.8945580706913 14.108365297500454
|
||||
7.5 3161.1331206349914 14.264793217727568
|
||||
7.6 3123.655088573817 14.17162081871763
|
||||
7.7 3128.598360586815 14.122746616842806
|
||||
7.8 3135.957654568297 14.11298018416618
|
||||
7.9 3146.0983950369973 14.084755590920206
|
||||
8 3153.717342315606 14.056890884812741
|
||||
8.1 3169.196799991097 14.033844009026692
|
||||
8.2 3161.8198333382798 14.03111531003435
|
||||
8.3 3087.202824692347 14.206877123670013
|
||||
8.4 2964.8878388878998 14.355499644320007
|
||||
8.5 2960.0313227212923 14.364296534777411
|
||||
8.6 2967.3385184319604 14.36147912161815
|
||||
8.7 2915.5029148613094 14.43325360081653
|
||||
8.8 2871.3231883235394 14.524424727730594
|
||||
8.9 2839.425411844136 14.599247645261132
|
||||
9 2806.129959255797 14.69984460974186
|
||||
9.1 2696.05942793655 14.788749430486202
|
||||
9.2 2568.226581493352 15.109968822722639
|
||||
9.3 2561.2130175812167 15.146980718553667
|
||||
9.4 2597.0160987827435 15.094580215804793
|
||||
9.5 2632.2322327699626 15.049665407075569
|
||||
9.6 2659.0577331013574 15.007868392156578
|
||||
9.7 2663.908593811827 14.996614311268273
|
||||
9.8 2652.2414229062797 15.017066387670654
|
||||
9.9 2624.4156737570233 15.08893835395579
|
||||
10 2620.891280827101 15.09605144103409
|
||||
10.1 2811.213784289431 14.98697348149197
|
||||
10.2 3251.113308107788 14.885266788686478
|
||||
10.3 2241.793267746914 15.578713611737896
|
||||
10.4 2173.2396809463044 15.735851897985604
|
||||
10.5 2197.4637264808885 15.788690270028978
|
||||
10.6 2227.673861264442 15.720731006545424
|
||||
10.7 2124.4501833180007 15.783957072866853
|
||||
10.8 2037.54228350546 15.883101330570629
|
||||
10.9 1964.2351036720481 16.017081216401078
|
||||
11 1933.3855379347697 16.108490731912433
|
||||
11.1 1920.3952192767686 16.147488608493138
|
||||
11.2 1932.7802303314938 16.118143722036272
|
||||
11.3 1995.8740129268554 15.97966887087703
|
||||
11.4 2057.4917907293643 15.858443532049089
|
||||
11.5 2084.6599498333135 15.787293176055847
|
||||
11.6 2095.041110455742 15.758583102581573
|
||||
11.7 2109.4521382978196 15.70309935082966
|
||||
11.8 2137.914791753225 15.63516020326812
|
||||
11.9 2177.8838461785767 15.565302660412454
|
||||
12 2264.5639491086977 15.477707617272927
|
||||
12.1 2327.158164643677 15.40251870352903
|
||||
12.2 2384.2437021703863 15.281258475204227
|
||||
12.3 2475.9112231051163 15.014734028388581
|
||||
12.4 2487.7682961874807 15.01464897430955
|
||||
12.5 2506.5323210717393 14.975753157978229
|
||||
12.6 2467.0993463368545 15.17298376833969
|
||||
12.7 2646.7122516149298 15.104528235772205
|
||||
12.8 2640.464365008705 15.108344935383673
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
77.7 364.86197520971825 29.51260608966119
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||||
77.8 358.7016214585311 28.638175796231643
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||||
77.9 338.61742951685665 28.010563656275636
|
||||
78 373.4727353147752 27.706870345193025
|
||||
78.1 375.7773832947531 27.706038506304232
|
||||
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||||
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|
||||
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||||
78.5 468.6069844343543 25.862634630394556
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||||
78.6 480.9129967577755 25.4224331121841
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||||
78.7 497.42694042566876 25.324670071372786
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||||
78.8 456.5006206720876 25.800114476066657
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||||
78.9 536.8369561792696 25.54055403859114
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||||
79 615.7850935447333 25.298059298890184
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||||
79.1 532.6985319474122 25.270183822693312
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||||
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||||
79.3 666.3033260624405 25.37948951353642
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||||
79.4 746.7208111496914 25.087483384144498
|
||||
79.5 633.012533918467 25.384189191441482
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||||
79.6 646.4057969912354 25.485617974097917
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||||
79.7 724.5971446413027 25.1779393962348
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||||
79.8 668.2637772411167 25.355523955626253
|
||||
79.9 621.218889531893 25.54418842810946
|
||||
80 604.4097163980888 25.56167396114895
|
||||
80.1 506.8603129451567 25.722289866751982
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||||
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||||
80.3 456.67769986299066 25.494199631141928
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||||
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||||
80.5 412.111681047701 26.078418175015756
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||||
80.6 369.5706799892174 26.158757743338867
|
||||
80.7 320.9809466504431 26.3628435652631
|
||||
80.8 316.58218296187476 26.73893468043743
|
||||
80.9 302.4144928428696 27.01140422666198
|
||||
81 356.699430273623 26.74230129823468
|
||||
81.1 286.2693240666548 27.688136232974426
|
||||
81.2 308.6708053750198 27.713793632289708
|
||||
81.3 396.0360290167972 27.30516108050859
|
||||
81.4 514.3677471361586 26.406354415435445
|
||||
81.5 480.10411190002776 26.52959472325338
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||||
81.6 608.4320307553814 25.83530513629599
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||||
81.7 662.068607512761 26.089778423397373
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||||
81.8 363.9826209342355 27.49635506984776
|
||||
81.9 392.62489329841327 26.76010570260561
|
||||
82 479.70818168328594 26.882521110475242
|
||||
82.1 569.7266781170862 26.40616196373806
|
||||
82.2 577.63445326102 26.614340903370177
|
||||
82.3 666.9304682430161 26.667523961673943
|
||||
82.4 462.6731162081553 30.46052528909454
|
||||
82.5 431.99844796118225 30.446101983843654
|
||||
82.6 371.1459815952438 30.75210324925391
|
||||
82.7 389.5387828550372 30.841437159894426
|
||||
82.8 450.36878166795253 30.00004597455429
|
||||
82.9 401.59306574469764 30.58656117942545
|
||||
83 378.11051739573446 30.87175547038859
|
||||
83.1 391.63378757864433 31.710198055135116
|
||||
83.2 343.72270965643804 30.84244168577164
|
||||
83.3 364.13341061748184 30.307482313619428
|
||||
83.4 391.9401819330682 29.715670874428422
|
||||
83.5 359.42443852138734 29.815999726376187
|
||||
83.6 429.5023160266302 29.64109764729693
|
||||
83.7 449.2459447832582 29.227555616325713
|
||||
83.8 444.9045156695157 29.86026722270288
|
||||
83.9 410.4750333743868 30.403882730497376
|
||||
84 444.4835932306505 30.37460219868536
|
||||
84.1 437.73663459065364 30.594983812824868
|
||||
84.2 394.93162097627805 29.14066654195743
|
||||
84.3 416.2234091583571 29.45573042758709
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||||
84.4 428.9176705815726 29.21771273156333
|
||||
84.5 463.4893743817268 29.624078499582726
|
||||
84.6 511.19320462122107 28.98184244660504
|
||||
84.7 361.098133717652 29.537816401286957
|
||||
84.8 373.0593312757202 29.44855050507283
|
||||
84.9 382.2140213848331 29.18595762892591
|
||||
85 447.3686801722263 25.636781989754294
|
||||
85.1 763.6844565255025 24.689114917958534
|
||||
85.2 1594.8456848117482 24.163952556547194
|
||||
85.3 514.9912515704139 24.961034442928124
|
||||
85.4 506.0296222103513 24.978132388997473
|
||||
85.5 677.9810632691319 24.961040105318126
|
||||
85.6 419.7473474101772 25.534532130652433
|
||||
85.7 430.34958740157083 25.554048766404755
|
||||
85.8 428.2278090747665 24.774925291183926
|
||||
85.9 482.7836239959243 23.984470267624438
|
||||
86 454.9688261217949 24.27877138167192
|
||||
86.1 450.8335575315566 24.80068232329889
|
||||
86.2 466.4296136287195 24.6336273938225
|
||||
86.3 463.7898988381411 24.611520014919073
|
||||
86.4 411.82272929279435 25.1645124213153
|
||||
86.5 831.282930009002 23.70644251473063
|
||||
86.6 1063.5789946012383 23.350916475839306
|
||||
86.7 1079.0184228840217 23.43277178080386
|
||||
86.8 1076.247721440725 23.570291477888937
|
||||
86.9 1052.0290848567586 23.71300631149393
|
||||
87 1036.0259152668964 23.880209604927852
|
||||
87.1 1347.754279353138 23.3280259878268
|
||||
87.2 769.3538190734805 24.26268276017168
|
||||
87.3 750.0935047681228 24.454222134059282
|
||||
87.4 746.0710213131134 24.738144965485667
|
||||
87.5 731.4239624139367 24.998835571267794
|
||||
87.6 735.1871037363485 25.07088440795621
|
||||
87.7 396.3173095718582 26.14668910537675
|
||||
87.8 388.29958133012826 26.499191323585237
|
||||
87.9 388.5444251419555 26.824998926797157
|
||||
88 384.11808738425924 26.419206808987035
|
||||
88.1 381.8963923512187 26.072871549771058
|
||||
88.2 378.2999628541468 26.515306229950866
|
||||
88.3 385.08811421731565 25.529610499185498
|
||||
88.4 388.9999927167419 25.523269100127663
|
||||
88.5 394.9863169466208 25.40864902481939
|
||||
88.6 405.59482934423465 25.261117273343068
|
||||
88.7 410.59765390056185 25.447138389829522
|
||||
88.8 419.8164945146803 25.390817513056245
|
||||
88.9 423.1429128952002 25.387347124473457
|
||||
89 438.0708856392449 25.236799340197827
|
||||
89.1 460.0681984384893 25.0565704047473
|
||||
89.2 533.8247899118013 23.133387097690115
|
||||
89.3 483.1566155746314 23.431363875784054
|
||||
89.4 467.8492230232982 23.709926382206024
|
||||
89.5 475.28044211891296 23.63095268866962
|
||||
89.6 449.75807576999745 23.97726379150913
|
||||
89.7 489.57822524166244 23.6195093910364
|
||||
89.8 470.7135277617026 23.85221554994332
|
||||
89.9 476.89067331908 23.7329373682277
|
||||
|
|
@ -0,0 +1,900 @@
|
|||
time mse psnr
|
||||
0.1 14101.980240223862 6.880518232239907
|
||||
0.2 13260.454830753895 7.0909757113198655
|
||||
0.3 13260.454830753895 7.0909757113198655
|
||||
0.4 13260.454830753895 7.0909757113198655
|
||||
0.5 13260.454830753895 7.0909757113198655
|
||||
0.6 13260.454830753895 7.0909757113198655
|
||||
0.7 13260.454830753895 7.0909757113198655
|
||||
0.8 13260.454830753895 7.0909757113198655
|
||||
0.9 13260.454830753895 7.0909757113198655
|
||||
1 13260.454830753895 7.0909757113198655
|
||||
1.1 13260.454830753895 7.0909757113198655
|
||||
1.2 13260.454830753895 7.0909757113198655
|
||||
1.3 13260.454830753895 7.0909757113198655
|
||||
1.4 13260.454830753895 7.0909757113198655
|
||||
1.5 13260.454830753895 7.0909757113198655
|
||||
1.6 13260.454830753895 7.0909757113198655
|
||||
1.7 13260.454830753895 7.0909757113198655
|
||||
1.8 13260.454830753895 7.0909757113198655
|
||||
1.9 13260.454830753895 7.0909757113198655
|
||||
2 13260.454830753895 7.0909757113198655
|
||||
2.1 13260.454830753895 7.0909757113198655
|
||||
2.2 13260.454830753895 7.0909757113198655
|
||||
2.3 5158.708407006766 12.830284687260868
|
||||
2.4 3844.5825174847655 13.554896437904585
|
||||
2.5 3843.7678400007912 13.558851123311525
|
||||
2.6 3843.545442757795 13.559438897956337
|
||||
2.7 3841.9560442757793 13.562027948580818
|
||||
2.8 3841.930617172661 13.562078618034748
|
||||
2.9 3841.930617172661 13.562078618034748
|
||||
3 3841.930617172661 13.562078618034748
|
||||
3.1 3840.4000590574547 13.564691625760267
|
||||
3.2 3840.308098092751 13.564952137166246
|
||||
3.3 3840.308098092751 13.564952137166246
|
||||
3.4 3109.250912509398 14.044992616576165
|
||||
3.5 3109.5232217721195 14.044593618161114
|
||||
3.6 3109.5234125341294 14.04459333881596
|
||||
3.7 3109.522521305694 14.044594643901425
|
||||
3.8 3109.522521305694 14.044594643901425
|
||||
3.9 3109.522521305694 14.044594643901425
|
||||
4 3109.522521305694 14.044594643901425
|
||||
4.1 3109.5217317337374 14.044595800128764
|
||||
4.2 3109.5217317337374 14.044595800128764
|
||||
4.3 3109.5217317337374 14.044595800128764
|
||||
4.4 3109.5217317337374 14.044595800128764
|
||||
4.5 3109.5217317337374 14.044595800128764
|
||||
4.6 3109.5217317337374 14.044595800128764
|
||||
4.7 3109.5217317337374 14.044595800128764
|
||||
4.8 3109.5217317337374 14.044595800128764
|
||||
4.9 3109.541517601001 14.044527118522478
|
||||
5 3109.54607428676 14.044509628253184
|
||||
5.1 3109.54607428676 14.044509628253184
|
||||
5.2 3140.2496296296295 13.915452438106502
|
||||
5.3 3113.5955878417813 13.95080961413603
|
||||
5.4 3103.170837327379 13.951821039441386
|
||||
5.5 3145.810652216386 13.9840907211527
|
||||
5.6 3045.6048457284737 14.015212302157018
|
||||
5.7 3037.8245489078818 13.99905718738093
|
||||
5.8 3076.149469002256 13.949645559281059
|
||||
5.9 3312.6677952254463 14.134227438006896
|
||||
6 3305.3922498837646 14.148776174567947
|
||||
6.1 3364.0166322906775 14.163882345789773
|
||||
6.2 3378.995530193989 14.15314060481539
|
||||
6.3 3431.1750835658045 14.07905044008949
|
||||
6.4 3422.2157559873585 14.098862441234433
|
||||
6.5 3419.4281387009332 14.163631739653248
|
||||
6.6 3388.860934730136 14.426243695119854
|
||||
6.7 3262.2344647609016 14.63792671280109
|
||||
6.8 3134.481422696066 14.847540002041537
|
||||
6.9 3115.3362142267133 14.838216623037143
|
||||
7 3063.994284398247 14.875032034637785
|
||||
7.1 3137.774458677093 14.799738272057608
|
||||
7.2 3151.0618128140827 14.822630975920076
|
||||
7.3 3175.0397718942895 14.776140519288216
|
||||
7.4 2767.146631585846 15.03645626785291
|
||||
7.5 2735.4678267079175 15.095878915567225
|
||||
7.6 2731.276648514166 14.754810406946556
|
||||
7.7 2733.3070792279996 14.619572486478468
|
||||
7.8 2705.5233358558876 15.010870205183704
|
||||
7.9 2664.11341896417 15.057590994413431
|
||||
8 2701.7975081983027 15.012564102229078
|
||||
8.1 2612.1360107282767 15.026827454210034
|
||||
8.2 2636.0695700404594 14.99099340185921
|
||||
8.3 2461.782857349537 15.241426557213474
|
||||
8.4 2294.5375695310026 15.603181878346001
|
||||
8.5 2298.128572394844 15.601317767772018
|
||||
8.6 2302.532640446937 15.605702673844318
|
||||
8.7 2235.3050110052627 15.728571587951024
|
||||
8.8 2222.8692518523467 15.759232549500258
|
||||
8.9 2042.1369542007956 16.193154361769572
|
||||
9 2012.5619476347345 16.298676068512403
|
||||
9.1 1968.7153874470762 16.523101649372993
|
||||
9.2 1640.133101097559 16.816596418012857
|
||||
9.3 1665.9459570127017 16.68761199583013
|
||||
9.4 1693.5569812440647 16.613662099193775
|
||||
9.5 1673.1872503907487 16.67447534632116
|
||||
9.6 1681.5399741190847 16.66828756314126
|
||||
9.7 1677.26258692921 16.690430627001266
|
||||
9.8 1554.3571244361347 17.217827079907273
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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72.9 198.1978192649391 35.81779416892624
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||||
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||||
75 214.18371904203104 30.698372534117013
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||||
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||||
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||||
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||||
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||||
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||||
77 194.8153305412116 33.92615296974347
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||||
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||||
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||||
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||||
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||||
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||||
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||||
77.7 154.6991335643202 32.15543101056266
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||||
77.8 147.29399310501742 33.049281359266345
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||||
77.9 133.45984898059118 32.60764492233836
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||||
78 146.84859639620922 32.574540154955265
|
||||
78.1 154.18317580969057 32.57145520693554
|
||||
78.2 141.96494870805634 32.20076926193435
|
||||
78.3 153.5385448693218 31.91975951846562
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||||
78.4 198.733563380421 31.688641794992275
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||||
78.5 227.25115868105016 31.29197417617314
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||||
78.6 229.07220536809513 31.31447259849999
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||||
78.7 262.543109827576 31.00546063321914
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||||
78.8 226.51149148514165 31.183899116958596
|
||||
78.9 293.16515736289176 31.115495969859243
|
||||
79 341.5047211835232 31.04665572482791
|
||||
79.1 292.79509978929246 30.07628649044722
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||||
79.2 289.58762571967 30.204428361068647
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||||
79.3 337.4995305328031 30.290509223626916
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||||
79.4 424.68224349081987 29.852766672842677
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||||
79.5 345.14031608598447 30.071873453975858
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||||
79.6 382.08906419406856 30.205296250498407
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||||
79.7 262.09421086083415 31.219087250085245
|
||||
79.8 251.0522737120133 31.263874972287155
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||||
79.9 270.0434121013374 31.436027632322222
|
||||
80 232.6100783228474 31.764492587359467
|
||||
80.1 253.68327960539332 31.244538673918747
|
||||
80.2 223.47916796504035 31.357744270725956
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||||
80.3 223.31763231046216 30.926710471866997
|
||||
80.4 259.6906061797642 30.578635690142715
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||||
80.5 201.33085095411923 31.05179434496882
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||||
80.6 175.95040306465654 31.3558768986969
|
||||
80.7 150.11589449291705 31.861572496715592
|
||||
80.8 166.85421208501504 32.407338131130196
|
||||
80.9 264.15868401788543 32.30466424638576
|
||||
81 180.31216488356677 32.42103886074569
|
||||
81.1 147.1310465633903 32.829786505224305
|
||||
81.2 149.27036028015192 33.318361775354724
|
||||
81.3 199.13664727761943 33.20956464550374
|
||||
81.4 279.4989598419199 32.705664146638966
|
||||
81.5 279.3162346173631 32.04905090587648
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||||
81.6 355.98995585529434 30.818444442381047
|
||||
81.7 613.9265068430476 30.571137359372354
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||||
81.8 206.79974712626625 32.08560547151951
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||||
81.9 201.252665474636 31.286996795199837
|
||||
82 280.78633000455045 31.045554923359653
|
||||
82.1 402.85822879570276 30.534448443037853
|
||||
82.2 366.8179956696146 30.63829157329423
|
||||
82.3 449.79729224784336 30.454187016188282
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||||
82.4 248.33197655755384 34.28321229542252
|
||||
82.5 197.81211697976022 34.72408158513269
|
||||
82.6 138.69841965663582 34.85318613583397
|
||||
82.7 160.0155560378087 35.074897872337324
|
||||
82.8 193.01797952031893 34.4981856288655
|
||||
82.9 207.4537775255223 34.80189876666567
|
||||
83 214.23318185640227 34.92621089287187
|
||||
83.1 236.81168536324788 35.39588788610652
|
||||
83.2 187.23186777856915 34.90502364617159
|
||||
83.3 190.31513453624564 34.60266337970479
|
||||
83.4 179.1902800282921 34.453450310077784
|
||||
83.5 183.98766880094576 34.28333834215791
|
||||
83.6 131.19130375267096 34.6377589784858
|
||||
83.7 126.0495607910929 34.04270378209388
|
||||
83.8 138.65132225140476 34.33752135294544
|
||||
83.9 164.1979131177786 34.240693777485475
|
||||
84 228.73828408169126 34.18060078065343
|
||||
84.1 223.9678650779519 34.29676873601511
|
||||
84.2 168.47131024453944 33.72152492874925
|
||||
84.3 181.39606385030862 34.04795280353345
|
||||
84.4 193.0180817085114 33.83962687844952
|
||||
84.5 237.7085002547286 34.15403393623472
|
||||
84.6 202.01547813538699 33.55718018892218
|
||||
84.7 133.18333011831277 33.701992259396974
|
||||
84.8 127.73724941387702 33.68064681275675
|
||||
84.9 113.78943609775645 33.60851123597944
|
||||
85 164.76457470223963 30.10049821498889
|
||||
85.1 465.61396661819407 28.70296046162336
|
||||
85.2 1328.559053250633 28.168963323478913
|
||||
85.3 219.23382644329692 29.272164676558095
|
||||
85.4 208.80947451725234 29.697991796538762
|
||||
85.5 382.22098403124016 29.707972698729773
|
||||
85.6 131.71350492887385 30.117037783402377
|
||||
85.7 155.80672564992875 30.079599550618454
|
||||
85.8 238.50157427192153 28.98260591048986
|
||||
85.9 319.3650701492758 27.74362056071389
|
||||
86 274.17630262741375 28.16195534523884
|
||||
86.1 273.93859649513297 28.44820939250663
|
||||
86.2 290.94546719195154 28.203983609971765
|
||||
86.3 314.60840779815607 28.06680236955618
|
||||
86.4 266.38238420979735 28.77693467699451
|
||||
86.5 695.4281928740305 27.44548355771394
|
||||
86.6 763.4982229097423 27.44399120944178
|
||||
86.7 849.916506422622 27.399577660309415
|
||||
86.8 787.2736038649493 27.92569325653666
|
||||
86.9 752.3988098859409 28.104052452629592
|
||||
87 740.0661391065211 28.28409362745896
|
||||
87.1 717.5602537269508 28.81591776393579
|
||||
87.2 138.308055060937 29.75342570091626
|
||||
87.3 121.57211235507674 29.981559081028188
|
||||
87.4 106.4875127858895 30.411077689194332
|
||||
87.5 94.1824064181703 31.22681561146775
|
||||
87.6 91.55949804872981 31.59002175661749
|
||||
87.7 80.61602219106125 32.102153472836974
|
||||
87.8 80.77309338150918 32.18911995095094
|
||||
87.9 81.86235894715495 32.40383392725626
|
||||
88 76.26838659138572 32.27974582825149
|
||||
88.1 76.15096716474753 32.18657481908873
|
||||
88.2 75.29156097904794 32.51450294676044
|
||||
88.3 80.15407725199825 31.588651349941546
|
||||
88.4 79.45201991086972 32.008083558787916
|
||||
88.5 80.411407103217 31.931711337326213
|
||||
88.6 81.3877645343661 31.85004603240745
|
||||
88.7 81.19585686481085 32.02011342517221
|
||||
88.8 76.26795992105889 32.33012060672019
|
||||
88.9 74.45548243856837 32.494973176953586
|
||||
89 75.91537577407804 32.39628885602602
|
||||
89.1 78.88410816565764 32.27606958034452
|
||||
89.2 89.70988951045952 31.303027374336633
|
||||
89.3 94.07582058041835 31.170629439895553
|
||||
89.4 92.74033204464592 31.21783025626924
|
||||
89.5 88.79521967967678 31.518908315063303
|
||||
89.6 88.38676844885974 32.067835849574315
|
||||
89.7 89.92893008134003 31.94614377690826
|
||||
89.8 89.69309866362312 31.91272570563561
|
||||
89.9 93.63955865805042 31.749134329256645
|
||||
|
|
@ -0,0 +1,900 @@
|
|||
time mse psnr
|
||||
0.1 15368.499922629293 6.560722198799414
|
||||
0.2 13260.454830753895 7.0909757113198655
|
||||
0.3 13260.454830753895 7.0909757113198655
|
||||
0.4 13260.454830753895 7.0909757113198655
|
||||
0.5 13260.454830753895 7.0909757113198655
|
||||
0.6 13260.454830753895 7.0909757113198655
|
||||
0.7 13260.454830753895 7.0909757113198655
|
||||
0.8 13260.454830753895 7.0909757113198655
|
||||
0.9 13260.454830753895 7.0909757113198655
|
||||
1 13260.454830753895 7.0909757113198655
|
||||
1.1 13260.454830753895 7.0909757113198655
|
||||
1.2 13260.454830753895 7.0909757113198655
|
||||
1.3 13260.454830753895 7.0909757113198655
|
||||
1.4 13260.454830753895 7.0909757113198655
|
||||
1.5 13260.454830753895 7.0909757113198655
|
||||
1.6 13260.454830753895 7.0909757113198655
|
||||
1.7 13260.454830753895 7.0909757113198655
|
||||
1.8 13260.454830753895 7.0909757113198655
|
||||
1.9 13260.454830753895 7.0909757113198655
|
||||
2 13260.454830753895 7.0909757113198655
|
||||
2.1 13260.454830753895 7.0909757113198655
|
||||
2.2 13260.454830753895 7.0909757113198655
|
||||
2.3 13260.454830753895 7.0909757113198655
|
||||
2.4 13260.454830753895 7.0909757113198655
|
||||
2.5 13260.454830753895 7.0909757113198655
|
||||
2.6 13260.454830753895 7.0909757113198655
|
||||
2.7 13260.454830753895 7.0909757113198655
|
||||
2.8 13260.454830753895 7.0909757113198655
|
||||
2.9 13260.454830753895 7.0909757113198655
|
||||
3 13260.454830753895 7.0909757113198655
|
||||
3.1 13260.454830753895 7.0909757113198655
|
||||
3.2 13260.454830753895 7.0909757113198655
|
||||
3.3 13260.454830753895 7.0909757113198655
|
||||
3.4 13260.454830753895 7.0909757113198655
|
||||
3.5 13260.454830753895 7.0909757113198655
|
||||
3.6 13260.454830753895 7.0909757113198655
|
||||
3.7 13260.454830753895 7.0909757113198655
|
||||
3.8 13260.454830753895 7.0909757113198655
|
||||
3.9 13260.454830753895 7.0909757113198655
|
||||
4 3653.1080185086257 13.652969229252799
|
||||
4.1 3654.513045218028 13.658307874088157
|
||||
4.2 3654.513045218028 13.658307874088157
|
||||
4.3 3111.9436287442627 14.04024237885025
|
||||
4.4 3111.9436287442627 14.04024237885025
|
||||
4.5 3111.9436287442627 14.04024237885025
|
||||
4.6 3111.9436287442627 14.04024237885025
|
||||
4.7 3109.6381005658436 14.044355831930254
|
||||
4.8 3109.6381005658436 14.044355831930254
|
||||
4.9 3109.6381005658436 14.044355831930254
|
||||
5 3109.6381005658436 14.044355831930254
|
||||
5.1 3109.6715090564658 14.04422575564996
|
||||
5.2 3140.2948408564816 13.915448381583424
|
||||
5.3 3150.493828149731 13.872080289735617
|
||||
5.4 3140.1765192827047 13.872903505010429
|
||||
5.5 3201.7004099274895 13.838369352567058
|
||||
5.6 3102.0699603810544 13.866791849825558
|
||||
5.7 3094.851778870885 13.848306812881088
|
||||
5.8 3155.8912771421933 13.764803554269387
|
||||
5.9 3326.375373375178 13.594542690306186
|
||||
6 3327.4789608435235 13.585479845590894
|
||||
6.1 3221.0437385495807 13.7060841617406
|
||||
6.2 3234.621075671692 13.691285019521827
|
||||
6.3 3291.1508223651667 13.612064530452688
|
||||
6.4 3296.5346897505146 13.614932935080146
|
||||
6.5 3287.5771398064053 13.686494299477296
|
||||
6.6 3321.3846706582385 13.757622515426695
|
||||
6.7 3207.046730200419 13.87259325571346
|
||||
6.8 3193.275454121657 13.926804902707305
|
||||
6.9 3171.405627386535 13.933482446789629
|
||||
7 3118.0771900101895 13.911435222873752
|
||||
7.1 3198.515575463952 13.804125526759206
|
||||
7.2 3260.1473790163027 13.713723531114839
|
||||
7.3 3286.9830509803337 13.668030557010455
|
||||
7.4 3305.1571471020297 13.603908734072963
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86.6 902.3946798952396 24.7105733693493
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86.7 943.2812719610637 24.708248752289325
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86.8 890.2419306569524 24.85839994637246
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87 921.1162464634773 24.707061381052743
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89 153.5660116804171 27.986485439816928
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89.5 148.19970361529064 27.756397651819466
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89.8 173.04563765914352 28.003849525903785
|
||||
89.9 177.21997813786007 27.909964693452547
|
||||
|
|
@ -0,0 +1,900 @@
|
|||
time mse psnr
|
||||
0.1 13260.454830753895 7.0909757113198655
|
||||
0.2 13260.454830753895 7.0909757113198655
|
||||
0.3 13260.454830753895 7.0909757113198655
|
||||
0.4 13260.454830753895 7.0909757113198655
|
||||
0.5 13260.454830753895 7.0909757113198655
|
||||
0.6 13260.454830753895 7.0909757113198655
|
||||
0.7 13260.454830753895 7.0909757113198655
|
||||
0.8 13260.454830753895 7.0909757113198655
|
||||
0.9 13260.454830753895 7.0909757113198655
|
||||
1 13260.454830753895 7.0909757113198655
|
||||
1.1 13260.454830753895 7.0909757113198655
|
||||
1.2 13260.454830753895 7.0909757113198655
|
||||
1.3 13260.454830753895 7.0909757113198655
|
||||
1.4 13260.454830753895 7.0909757113198655
|
||||
1.5 13260.454830753895 7.0909757113198655
|
||||
1.6 13260.454830753895 7.0909757113198655
|
||||
1.7 13260.454830753895 7.0909757113198655
|
||||
1.8 13260.454830753895 7.0909757113198655
|
||||
1.9 13260.454830753895 7.0909757113198655
|
||||
2 13260.454830753895 7.0909757113198655
|
||||
2.1 13260.454830753895 7.0909757113198655
|
||||
2.2 13260.454830753895 7.0909757113198655
|
||||
2.3 13260.454830753895 7.0909757113198655
|
||||
2.4 13260.454830753895 7.0909757113198655
|
||||
2.5 13260.454830753895 7.0909757113198655
|
||||
2.6 13260.454830753895 7.0909757113198655
|
||||
2.7 13260.454830753895 7.0909757113198655
|
||||
2.8 13260.454830753895 7.0909757113198655
|
||||
2.9 13260.454830753895 7.0909757113198655
|
||||
3 13260.454830753895 7.0909757113198655
|
||||
3.1 13260.454830753895 7.0909757113198655
|
||||
3.2 13260.454830753895 7.0909757113198655
|
||||
3.3 13260.454830753895 7.0909757113198655
|
||||
3.4 13260.454830753895 7.0909757113198655
|
||||
3.5 13260.454830753895 7.0909757113198655
|
||||
3.6 13260.454830753895 7.0909757113198655
|
||||
3.7 13260.454830753895 7.0909757113198655
|
||||
3.8 13260.454830753895 7.0909757113198655
|
||||
3.9 13260.454830753895 7.0909757113198655
|
||||
4 13260.454830753895 7.0909757113198655
|
||||
4.1 13260.454830753895 7.0909757113198655
|
||||
4.2 13260.454830753895 7.0909757113198655
|
||||
4.3 10963.697956916252 8.34700928318217
|
||||
4.4 3110.53860203486 14.034903734014891
|
||||
4.5 3110.53860203486 14.034903734014891
|
||||
4.6 3111.3050702111036 14.039991929964438
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31 1982.7481827364106 16.474690005809986
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89.5 503.14534059124213 22.577112820070017
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89.8 558.0413712464634 22.628557555983125
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||||
89.9 555.2049148823302 22.634919515319798
|
||||
|
|
@ -0,0 +1,900 @@
|
|||
time mse psnr
|
||||
0.1 14279.788753276847 6.835972527789439
|
||||
0.2 13260.454830753895 7.0909757113198655
|
||||
0.3 13260.454830753895 7.0909757113198655
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||||
0.4 13260.454830753895 7.0909757113198655
|
||||
0.5 13260.454830753895 7.0909757113198655
|
||||
0.6 13260.454830753895 7.0909757113198655
|
||||
0.7 13260.454830753895 7.0909757113198655
|
||||
0.8 13260.454830753895 7.0909757113198655
|
||||
0.9 13260.454830753895 7.0909757113198655
|
||||
1 13260.454830753895 7.0909757113198655
|
||||
1.1 13260.454830753895 7.0909757113198655
|
||||
1.2 13260.454830753895 7.0909757113198655
|
||||
1.3 13260.454830753895 7.0909757113198655
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|
||||
89.1 32.207831740661604 37.98882662523416
|
||||
89.2 37.95059224697788 36.74041204888639
|
||||
89.3 40.066357046789264 36.53944963307703
|
||||
89.4 38.833539684070644 36.66486165114781
|
||||
89.5 37.818568887174216 36.968252819379636
|
||||
89.6 38.435581891932436 37.368699813972185
|
||||
89.7 39.40756894879544 37.08295234194515
|
||||
89.8 39.253472208826295 37.17475825245239
|
||||
89.9 43.12177368666409 36.92816405543304
|
||||
|
|
@ -1,3 +1,5 @@
|
|||
\newcommand{\written}[1]{{\noindent\color{Green}Things written in #1}}
|
||||
\newcommand{\unpublished}[1]{{\noindent\color{Green}Things written but not published in #1}}
|
||||
\newcommand{\missing}[1]{{\noindent\color{Red}Missing #1}}
|
||||
|
||||
\newcommand{\argmax}[1]{\underset{#1}{\mathrm{argmax}\ }}
|
||||
|
|
|
|||
|
|
@ -1,12 +1,17 @@
|
|||
\usepackage{multirow}
|
||||
\usepackage{amssymb}
|
||||
\usepackage{xspace}
|
||||
\usepackage{url}
|
||||
\usepackage{algorithm2e}
|
||||
\usepackage{datatool}
|
||||
\usepackage{pgfplots}
|
||||
\usepackage{tikz}
|
||||
\usepackage{graphicx}
|
||||
\usepackage{subfigure}
|
||||
\usepackage{todonotes}
|
||||
\usepackage{booktabs}
|
||||
\usepackage{tikz}
|
||||
\newcommand{\tikzwidth}{0.85\columnwidth}
|
||||
\newcommand{\tikzheight}{0.65\columnwidth}
|
||||
|
||||
\usepackage[colorlinks = true,
|
||||
linkcolor = blue,
|
||||
|
|
@ -43,6 +48,29 @@ anchorcolor = blue]{hyperref}
|
|||
\makesomeone{judge}{4}{Quatri\`eme MEMBRE}{Charg\'e de Recherche}{Membre du Jury}
|
||||
\makesomeone{judge}{5}{Cinqui\`eme MEMBRE}{Charg\'e de Recherche}{Membre du Jury}
|
||||
|
||||
\definecolor{mygreen}{RGB}{0,139,0}
|
||||
\definecolor{mycolor1}{RGB}{148,0,211}
|
||||
\definecolor{mycolor2}{RGB}{0,158,115}
|
||||
\definecolor{mycolor3}{RGB}{86,180,233}
|
||||
\definecolor{mycolor4}{RGB}{230,159,0}
|
||||
\definecolor{mycolor5}{RGB}{240,228,66}
|
||||
\definecolor{mycolor6}{RGB}{0,114,178}
|
||||
\definecolor{mycolor7}{RGB}{229,30,16}
|
||||
\definecolor{mycolor8}{RGB}{0,0,0}
|
||||
\definecolor{mycolor9}{RGB}{169,169,169}
|
||||
|
||||
\pgfplotscreateplotcyclelist{mystyle}{%
|
||||
{blue},
|
||||
{DarkGreen},
|
||||
{red},
|
||||
{mycolor4},
|
||||
{mycolor5},
|
||||
{mycolor6},
|
||||
{mycolor7},
|
||||
{mycolor8},
|
||||
{mycolor9},
|
||||
}
|
||||
|
||||
% Defines the colors from xcolor
|
||||
\preparecolorset{rgb}{}{}{%
|
||||
AliceBlue,.94,.972,1;%
|
||||
|
|
|
|||
|
|
@ -0,0 +1,134 @@
|
|||
\section{Client}\label{sec:dashclientspec}
|
||||
|
||||
In this section, we specify a DASH NVE client that exploits the preparation of the 3D content in an NVE for streaming.
|
||||
|
||||
The generated MPD file describes the content organization so that the client gets all the necessary information to make educated decisions and query the 3D content it needs according to the available resources and current viewpoint.
|
||||
A camera path generated by a particular user is a set of viewpoint $v(t_i)$ indexed by a continuous time interval $t_i \in [t_1,t_{end}]$.
|
||||
|
||||
The DASH client first downloads the MPD file to get the material (.mtl) file containing information about all the geometry and textures available for the entire 3D model.
|
||||
At time instance $t_i$, the DASH client decides to download the appropriate segments containing the geometry and the texture to generate the viewpoint $v(t_{i+1})$ for the time instance $t_{i+1}$.
|
||||
|
||||
Starting from $t_1$, the camera continuously follows a camera path $C=\{v(t_i), t_i \in [t_1,t_{end}]\}$, along which downloading opportunities are strategically exploited to sequentially query the most useful segments.
|
||||
|
||||
\subsection{Segment Utility}\label{subsec:utility}
|
||||
|
||||
Unlike video streaming, where the bitrate of each segment correlates with the quality of the video received, for 3D content, the size (in bytes) of the content does not necessarily correlate well to its contribution to visual quality.
|
||||
A large polygon with huge visual impact takes the same number of bytes as a tiny polygon.
|
||||
Further, the visual impact is \textit{view dependent} --- a large object that is far away or out of view does not contribute to the visual quality as much as a smaller object that is closer to the user.
|
||||
As such, it is important for a DASH-based NVE client to estimate the usefulness of a given segment to download, so that it can make good decisions about what to download.
|
||||
We call this usefulness the \textit{utility} of the segment.
|
||||
|
||||
The utility is a function of a segment, either geometry or texture, and the current viewpoint (camera location, view angle, and look-at point), and is therefore dynamically computed online by the client from parameters in the MPD file.
|
||||
|
||||
\subsubsection{Offline parameters}
|
||||
Let us detail first, all parameters available from the offline/static preparation of the 3D NVE\@.
|
||||
These parameters are stored in the MPD file.
|
||||
First, for each geometry segment $s^G$ there is a predetermined 3D area $\mathcal{A}_{3D}(s^G)$, equal to the sum of all triangle areas in this segment (in 3D); it is computed as the segments are created.
|
||||
Note that the texture segments will have similar information, but computed at \textit{navigation time} $t_i$.
|
||||
The second information stored in the MPD for all segments, geometry, and texture, is the size of the segment (in kB).
|
||||
Indeed, geometry segments have close to a similar number of faces; their size is almost uniform.
|
||||
For texture segments, the size is usually much smaller than the geometry segments but also varies a lot, as between two successive resolutions the number of pixels is divided by 4.
|
||||
|
||||
Finally, for each texture segment $s^{T}$, the MPD stores the \textit{MSE} (mean square error) of the image and resolution, relative to the highest resolution (by default, triangles are filled with its average color).
|
||||
Offline parameters are stored in the MPD as shown in Listing 1\todo{fix reference}.
|
||||
|
||||
\subsubsection{Online parameters}
|
||||
In addition to the offline parameters stored in the MPD file for each segment, view-dependent parameters are computed at navigation time.
|
||||
First, a measure of 3D area is computed for texture segments.
|
||||
As a texture maps on a set of triangles, we account for the area in 3D of all these triangles.
|
||||
We could consider such an offline measure (attached to the adaptation set containing the texture), but we prefer to only account for the triangles that have been already downloaded by the client.
|
||||
We call the set of triangles colored by a texture $T$: $\Delta(s^T)=\Delta(T)$ (depending only on $T$ and equal for any representation/segment $s^T$ in this texture adaptation set).
|
||||
At each time $t_i$, a subset of $\Delta(T)$ has been downloaded; we denote it $\Delta(T, t_i)$.
|
||||
|
||||
Moreover, each geometry segment belongs to a geometry adaptation set $AS^G$ whose bounding box coordinates are stored in the MPD\@.
|
||||
Given the coordinates of the bounding box $\mathcal{BB}(AS^G)$ and the viewpoint $v(t_i)$ at time $t_i$, the client computes the distance $\mathcal{D}(v(t_i),AS^G)$ of the bounding box $\mathcal{BB}(AS^G)$ as the distance from the center of $\mathcal{BB}(AS^G)$ to the principal point of the camera, given in $v(t_i)$.
|
||||
|
||||
|
||||
\subsubsection{Utility for geometry segments}
|
||||
We now have all parameters to derive a utility measure of a geometry segment.
|
||||
Utility for texture segments will follow from the geometric utility.
|
||||
|
||||
The utility of a geometric segment $s^G$ for a viewpoint $v(t_i)$ is:
|
||||
\begin{equation*}
|
||||
\mathcal{U} \Big(s^G,v(t_i) \Big) = \frac{\mathcal{A}_{3D}(s^G)}{\mathcal{D}{\left(v{(t_i)},AS^G\right)}^2}
|
||||
\end{equation*}
|
||||
where $AS^G$ is the adaptation set containing $s^G$.
|
||||
|
||||
Basically, the utility of a segment is proportional to the area that its faces cover, and inversely proportional to the square of the distance between the camera and the center of the bounding box of the adaptation set containing the segment.
|
||||
That way, we favor segments with big faces that are close to the camera.
|
||||
|
||||
\subsubsection{Utility for texture segments}
|
||||
For a texture $T$ stored in a segment $s^T$, the triangles in $\Delta(T)$ are stored in arbitrary geometry segments, that is, they do not have spatial coherence.
|
||||
Thus, for each $k^{th}$ downloaded geometry segment $s_k^G$, and total downloaded segment $K$ at time $t_i$, we collect the triangles of $\Delta(T, t_i)$ in $s^G_k$, and compute the ratio of $\mathcal{A}_{3D}(s_k^G)$ covered by these triangles.
|
||||
So, we define the utility:
|
||||
\begin{equation*}
|
||||
\mathcal{U}\Big( s^T,v(t_i) \Big)
|
||||
= psnr(s^T) \sum_{k\in K}\frac{\mathcal{A}_{3D}( s_k^G\cap \Delta(T,t_i))}{\mathcal{A}_{3D}(s_k^G)} \mathcal{U}\Big( s_k^G,v(t_i) \Big)
|
||||
\end{equation*}
|
||||
where we sum over all geometry segments received before time $t_i$ that intersect $\Delta(T,t_i)$ and such that the adaptation set it belongs to is in the frustum.
|
||||
This formula defines the utility of a texture segment by computing the linear combination of the utility of the geometry segments that use this texture, weighted by the proportion of area covered by the texture in the segment.
|
||||
We compute the PSNR by using the MSE in the MPD and denote it $psnr(s^T)$.
|
||||
We do this to acknowledge the fact that a texture at a greater resolution will have a higher utility than a lower resolution texture.
|
||||
The equivalent term for geometry is 1 (and does not appear).
|
||||
Having defined a utility on both geometry and texture segments, the client uses it next for its streaming strategy.
|
||||
|
||||
\subsection{DASH Adaptation Logic}\label{subsec:dashadaptation}
|
||||
|
||||
Along the camera path $C=\{v(t_i)\}$, viewpoints are indexed by a continuous time interval $t_i \in [t_1,t_{end}]$.
|
||||
Contrastingly, the DASH adaptation logic proceeds sequentially along a discrete time line.
|
||||
The first request \texttt{(HTTP request)} made by the DASH client at time $t_1$ selects the most useful segment $s_1^*$ to download and will be followed by subsequent decisions at $t_2, t_3, \dots$.
|
||||
While selecting $s_i^*$, the i-th best segment to request, the adaptation logic compromises between geometry, texture, and the available \texttt{representations} given the current bandwidth, camera dynamics, and the previously described utility scores.
|
||||
The difference between $t_{i+1}$ and $t_{i}$ is the $s_i^*$ delivery delay.
|
||||
It varies with the segment size and network conditions.
|
||||
Algorithm~\ref{algorithm:nextsegment} details how our DASH client makes decisions.
|
||||
|
||||
|
||||
|
||||
\begin{algorithm}
|
||||
\SetKwInOut{Input}{input}
|
||||
\SetKwInOut{Output}{output}
|
||||
\Input{Current index $i$, time $t_i$, viewpoint $v(t_i)$, buffer of already downloaded \texttt{segments} $\mathcal{B}_i$, MPD}
|
||||
\Output{Next segment $s^{*}_i$ to request, updated buffer $\mathcal{B}_{i+1}$}
|
||||
\SetAlgoLined{}
|
||||
{- Estimate the bandwidth $\widehat{BW_i}$ and RTT $\widehat{\tau_i}$ \;}
|
||||
|
||||
{- Among all \texttt{segments} that are not already downloaded $s \in \mathcal{S} \backslash \mathcal{B}_i$, % \;}
|
||||
% {-
|
||||
keep the ones inside the upcoming viewing frustums $\mathcal{FC}=\mathbb{FC}(\widehat{v}(t_i)), t\in [t_i, t_i+\chi]$ thanks to a viewpoint predictor $t_i \rightarrow \hat{v}(t_i)$, a temporal horizon $\chi$ and a frustum culling operator $\mathbb{FC}$ \;}
|
||||
|
||||
|
||||
{- Optimize a criterion $\Omega$ based on $\mathcal{U}$ values and well chosen viewpoint $v(t_i)$ to select the next segment to query }
|
||||
{\begin{equation*} s^{*}_i= \argmax{s \in \mathcal{S} \backslash \mathcal{B}_i \cap \mathcal{FC}} \Omega_{\theta_i} \Big(\mathcal{U}\left(s,v(t_i)\right)\Big) \label{eq1}\end{equation*} \\
|
||||
given parameters $\theta_i$ that gathers both online parameters $(i,t_i,v(t_i),\widehat{BW_i}, \widehat{\tau_i}, \mathcal{B}_i)$ and offline metadata\;}
|
||||
|
||||
{- Update the buffer $\mathcal{B}_{i+1}$ for the next decision: $s^{*}_i$ and lowest \texttt{representations} of $s^{*}_i$ are considered downloaded\;}
|
||||
{- \Return{segment $s^{*}_i$, buffer $\mathcal{B}_{i+1}$}\;}
|
||||
|
||||
{\caption{Algorithm to identify the next segment to query\label{algorithm:nextsegment}}}
|
||||
\end{algorithm}
|
||||
|
||||
The most naive way to sequentially optimize the $\mathcal{U}$ is to limit the decision-making to the current viewpoint $v(t_i)$.
|
||||
In that case, the best segment $s$ to request would be the one maximizing $\mathcal{U}(s, v(t_i))$ to simply make a better rendering from the current viewpoint $v(t_i)$.
|
||||
Due to transmission delay however, this segment will be only delivered at time $t_{i+1}=t_{i+1}(s)$ depending on the segment size and network conditions: \begin{equation*} t_{i+1}(s)=t_i+\frac{\mathtt{size}(s)}{\widehat{BW_i}} + \widehat{\tau_i}\label{eq2}\end{equation*}
|
||||
|
||||
In consequence, the most useful segment from $v(t_i)$ at decision time $t_i$ might be less useful at delivery time from $v(t_{i+1})$.
|
||||
|
||||
A better solution is to download a segment that is expected to be the most useful in the future.
|
||||
With a temporal horizon $\chi$, we can optimize the cumulated $\mathcal{U}$ over $[t_{i+1}(s), t_i+\chi]$:
|
||||
|
||||
\begin{equation}
|
||||
s^*_i= \argmax{s \in \mathcal{S} \backslash \mathcal{B}_i \cap \mathcal{FC} } \int_{t_{i+1}(s)}^{t_i+\chi} \mathcal{U}(s,\hat{v}(t_i)) dt
|
||||
\label{eq:smart}
|
||||
\end{equation}
|
||||
|
||||
In our experiments, we typically use $\chi=2s$ and estimate the (\ref{eq:smart}) integral by a Riemann sum where the $[t_{i+1}(s), t_i+\chi]$ interval is divided in 4 subintervals of equal size.
|
||||
For each subinterval extremity, an order 1 predictor $\hat{v}(t_i)$ linearly estimates the viewpoint based on $v(t_i)$ and speed estimation (discrete derivative at $t_i$).
|
||||
|
||||
We also tested an alternative greedy heuristic selecting the segment that optimizes an utility variation during downloading (between $t_i$ and $t_{i+1}$):
|
||||
\begin{equation}
|
||||
s^{\texttt{GREEDY}}_i= \argmax{s \in \mathcal{S} \backslash \mathcal{B}_i \cap \mathcal{FC}} \frac{\mathcal{U}\Big(s,\hat{v}(t_{i+1}(s))\Big)}{t_{i+1}(s) - t_i}
|
||||
\label{eq:greedy}
|
||||
\end{equation}
|
||||
|
||||
|
||||
|
||||
|
|
@ -0,0 +1,95 @@
|
|||
\section{Content preparation}\label{sec:dash3d}
|
||||
|
||||
In this section, we describe how we preprocess and store the 3D data of the NVE, consisting of a polygon soup, textures, and material information into a DASH-compliant Media Presentation Description (MPD) file.
|
||||
In our work, we use the \texttt{obj} file format for the polygons, \texttt{png} for textures, and \texttt{mtl} format for material information.
|
||||
The process, however, applies to other formats as well.
|
||||
|
||||
\subsection{The MPD File}
|
||||
In DASH, the information about content storage and characteristics, such as location, resolution, or size, are extracted from an MPD file by the client.
|
||||
The client relies only on these information to decide which chunk to request and at which quality level.
|
||||
The MPD file is an XML file that is organized into different sections hierarchically.
|
||||
The \texttt{period} element is a top-level element, which for the case of video, indicates the start time and length of a video chapter.
|
||||
This element does not apply to NVE, and we use a single \texttt{period} for the whole scene, as the scene is static.
|
||||
Each \texttt{period} element contains one or more adaptation sets, which describe the alternate versions, formats, and types of media.
|
||||
We utilize adaptation sets to organize a 3D scene's material, geometry, and texture.
|
||||
|
||||
\subsection{Adaptation Sets}
|
||||
When the user navigates freely within an NVE, the frustum at given time almost always contains a limited part of the 3D scene.
|
||||
Similar to how DASH for video streaming partitions a video clip into temporal chunks, we segment the polygons into spatial chunks, such that the DASH client can request only the relevant chunks.
|
||||
|
||||
\subsubsection{Geometry Management}\label{sec:geometry}
|
||||
We use a space partitioning tree to organize the faces into cells.
|
||||
A face belongs to a cell if its barycenter falls inside the corresponding bounding box.
|
||||
Each cell corresponds to an adaptation set.
|
||||
Thus, geometry information is spread on adaptation sets based on spatial coherence, allowing the client to download the relevant faces selectively.
|
||||
A cell is relevant if it intersects the frustum of the client's current viewpoint. Figure~\ref{fig:bigpic} shows the relevant cells in blue.
|
||||
As our 3D content, a virtual environment, is biased to spread the most along the horizontal plane, we alternate between splitting between the two horizontal directions.
|
||||
|
||||
We create a separate adaptation set for large faces (e.g., the sky or ground) because they are essential to the 3D model and do not fit into cells.
|
||||
We consider a face to be large if its area in 3D is more than $a+3\sigma$, where $a$ and $\sigma$ are the average and the standard deviation of 3D area of faces respectively.
|
||||
In our example, it selects the 5 largest faces that represent $15\%$ of the total face area.
|
||||
We thus obtain a decomposition of the NVE into adaptation sets that partitions the geometry of the scene into a small adaptation set containing the larger faces of the model, and smaller adaptation sets containing the remaining faces.
|
||||
|
||||
We store the spatial location of each adaptation set, characterized by the coordinates of its bounding box, in the MPD file as the supplementary property of the adaptation set in the form of ``\textit{$x_{\min}$, width, $y_{\min}$, height, $z_{\min}$, depth}'' (as shown in Listing 1).
|
||||
This information is used by the client to implement a view-dependent streaming (Section~\ref{sec:dashclientspec}).
|
||||
|
||||
\subsubsection{Texture Management}
|
||||
As with geometry data, we handle textures using adaptation sets but separate from geometry.
|
||||
Each texture file is contained in a different adaptation set, with multiple representations providing different image resolutions (see Section~\ref{sec:representation}).
|
||||
We add an attribute to each adaptation set that contains texture, describing the average color of the texture.
|
||||
The client can use this attribute to render a face for which the corresponding texture has not been loaded yet, so that most objects appear, at least, with a uniform natural color (see Figure~\ref{fig:textures}).
|
||||
|
||||
|
||||
\subsubsection{Material Management}
|
||||
The material \texttt{.mtl} file is a text file that describes all materials used in the \texttt{.obj} files for the entire 3D model.
|
||||
A material has a name, properties such as specular parameters, and, most importantly, a path to a texture file.
|
||||
The \texttt{.mtl} file maps each face of the \texttt{.obj} to a material.
|
||||
As the \texttt{.mtl} file is a different type of media than geometry and texture, we define a particular adaptation set for this file, with a single representation.
|
||||
|
||||
\subsection{Representations}\label{sec:representation}
|
||||
Each adaptation set can contain one or more representations of the geometry or texture data, at different levels of detail (e.g., a different number of faces).
|
||||
For geometry, the resolution (i.e., 3D areas of faces) is heterogeneous, thus applying a sensible multi-resolution representation is cumbersome: the 3D area of faces varies from $0.01$ to more than $10K$, disregarding the outliers.
|
||||
For textured scenes, it is common to have such heterogeneous geometry size since information can be stored either in geometry or texture.
|
||||
Thus, handling the streaming compromise between geometry and texture is more adaptive than handling separately multi-resolution geometry.
|
||||
Moreover, as our faces are partitioned into independent cells, multi-resolution would cause difficult stitching issues such as topological gaps between the cells.
|
||||
|
||||
For an adaptation set containing texture, each representation contains a single segment where the image file is stored at the chosen resolution.
|
||||
In our example, from the full-size image, we generate successive resolutions by dividing both height and width by 2, stopping when the image size is less or equal to $64\times 64$.
|
||||
Figure~\ref{fig:textures} illustrates the use of the textures against the rendering using a single, average color per face.
|
||||
|
||||
\begin{figure}
|
||||
\includegraphics[width=0.472\columnwidth]{assets/dash-3d/average-color/full-res.png}
|
||||
\includegraphics[width=0.50\columnwidth]{assets/dash-3d/average-color/no-res.png}
|
||||
\caption{Rendering of the model with full resolution texture (left), and faces with average default color (right).\label{fig:textures}}
|
||||
\end{figure}
|
||||
|
||||
\subsection{Segments}
|
||||
To allow random access to the content within an adaptation set storing geometry data, we group the faces into segments.
|
||||
Each segment is then stored as a \texttt{.obj} file that can be individually requested by the client.
|
||||
For geometry, we partition the faces in an adaptation set into sets of $N_s$ faces, by first sorting the faces by their area in 3D space in descending order, and then place each successive $N_s$ faces into a segment.
|
||||
Thus, the first segment contains the biggest faces and the last one the smallest.
|
||||
In addition to the selected faces, a segment stores all face vertices and attributes so that each segment is independent.
|
||||
For textures, each representation contains a single segment.
|
||||
|
||||
\begin{figure}
|
||||
\lstinputlisting[%
|
||||
language=XML,
|
||||
caption={MPD description of a geometry adaptation set, and a texture adaptation set.},
|
||||
label=geometry-as-example,
|
||||
emph={%
|
||||
MPD,
|
||||
Period,
|
||||
AdaptationSet,
|
||||
Representation,
|
||||
BaseURL,
|
||||
SegmentBase,
|
||||
Initialization,
|
||||
Role,
|
||||
SupplementalProperty,
|
||||
SegmentList,
|
||||
SegmentURL,
|
||||
Viewpoint
|
||||
}
|
||||
]{assets/dash-3d/geometry-as.xml}\label{listing:MPD}
|
||||
\end{figure}
|
||||
|
||||
|
|
@ -0,0 +1,242 @@
|
|||
\section{Evaluation}\label{sec:eval}
|
||||
|
||||
We now describe our setup and the data we use in our experiments. We present an evaluation of our system and a comparison of the impact of the design choices we introduced in the previous sections.
|
||||
|
||||
\subsection{Experimental Setup}
|
||||
|
||||
\subsubsection{Model}
|
||||
We use a city model of the Marina Bay area in Singapore in our experiments.
|
||||
The model came in 3DS Max format and has been converted into Wavefront OBJ format before the processing described in Section~\ref{sec:dash3d}.
|
||||
The converted model has 387,551 vertices and 552,118 faces.
|
||||
Table~\ref{table:size} gives some general information about the model.
|
||||
We partition the geometry into a k-$d$ tree until the leafs have less than 10000 faces, which gives us 64 adaptation sets, plus one containing the large faces.
|
||||
|
||||
\begin{table}
|
||||
\centering
|
||||
\begin{tabular}{ll}
|
||||
\textbf{Files} & \textbf{Size} \\ \midrule
|
||||
3DS Max & 55 MB \\
|
||||
OBJ file & 62 MB\\
|
||||
MTL file & 0.27MB \\
|
||||
Textures (high res) & 167 MB \\
|
||||
Textures (low res) & 11 MB \\
|
||||
\bottomrule
|
||||
\end{tabular}
|
||||
\caption{Sizes of the different files of the model\label{table:size}}
|
||||
\end{table}
|
||||
|
||||
\subsubsection{User Navigations}
|
||||
To evaluate our system, we collected realistic user navigation traces that we can replay in our experiments.
|
||||
We presented six users with a web interface, on which the model was loaded progressively as the user could interact with it.
|
||||
The available interactions were inspired by traditional first-person interactions in video games, i.e., W, A, S, and D keys to translate the camera, and mouse to rotate the camera.
|
||||
We asked users to browse and explore the scene until they felt they had visited all important regions.
|
||||
We then asked them to produce camera navigation paths that would best present the 3D scene to a user that would discover it.
|
||||
To record a path, the users first place their camera to their preferred starting point, then click on a button to start recording.
|
||||
Every 100ms, the position, viewing angle of the camera and look-at point are saved into an array that will then be exported into JSON format.
|
||||
The recorded camera trace allows us to replay each camera path to perform our simulations and evaluate our system.
|
||||
We collected 13 camera paths this way.
|
||||
|
||||
\subsubsection{Network Setup}
|
||||
We tested our implementation under three network bandwidth of 2.5 Mbps, 5 Mbps, and 10 Mbps with an RTT of 38 ms, following the settings from DASH-IF~\cite{DASH_NETWORK_PROFILE}.
|
||||
The values are kept constant during the entire client session to analyze the difference in magnitude of performance by increasing the bandwidth.
|
||||
|
||||
In our experiments, we set up a virtual camera that moves along a navigation path, and our access engine downloads segments in real time according to Algorithm~\ref{algorithm:nextsegment}.
|
||||
We log in a JSON file the time when a segment is requested and when it is received.
|
||||
By doing so, we avoid wasting time and resources to evaluate our system while downloading segments and store all the information necessary to plot the figures introduced in the subsequent sections.
|
||||
|
||||
\subsubsection{Hardware and Software}
|
||||
The experiments were run on an Acer Aspire V3 with an Intel Core i7 3632QM processor and an NVIDIA GeForce GT 740M graphics card.
|
||||
The DASH client is written in Rust\footnote{\url{https://www.rust-lang.org/}}, using Glium\footnote{\url{https://github.com/glium/glium}} for rendering, and reqwest\footnote{\url{https://github.com/seanmonstar/reqwest/}} to load the segments.
|
||||
|
||||
\subsubsection{Metrics}
|
||||
To objectively evaluate the quality of the resulting rendering, we use PSNR\@.
|
||||
The scene as rendered offline using the same camera path with all the geometry and texture data available is used as ground truth.
|
||||
Note that a pixel error can occur in our case only in two situations: (i) when a face is missing, in which case the color of the background object is shown, and (ii) when a texture is either missing or downsampled.
|
||||
We do not have pixel error due to compression.
|
||||
|
||||
\subsubsection{Experiments}
|
||||
We present experiments to validate our implementation choices at every step of our system.
|
||||
We replay the user-generated camera paths with various bandwidth conditions while varying key components of our system.
|
||||
|
||||
Table~\ref{table:experiments} sums up all the components we varied in our experiments.
|
||||
We compare the impact of two space-partitioning trees, a $k$-d tree and an Octree, on content preparation.
|
||||
We also try several utility metrics for geometry segments: an offline one, which assigns to each geometry segment $s^G$ the cumulated 3D area of its belonging faces $\mathcal{A}_{3D}(s^G)$; an online one, which assigns to each geometry segment the inverse of its distance to the camera position; and finally our proposed method, as described in Section~\ref{subsec:utility} ($\mathcal{A}_{3D}(s^G)/ \mathcal{D}{(v{(t_i)},AS^G)}^2$).
|
||||
We consider two streaming policies to be applied by the client, proposed in Section~\ref{sec:dashclientspec}.
|
||||
The greedy strategy determines, at each decision time, the segment that maximizes its predicted utility at arrival divided by its predicted delivery delay, which corresponds to equation (\ref{eq:greedy}).
|
||||
The second streaming policy that we run is the one we proposed in equation (\ref{eq:smart}).
|
||||
We have also analyzed the effect of grouping the faces in geometry segments of an adaptation set based on their 3D area.
|
||||
Finally, we try several bandwidth parameters to study how our system can adapt to varying network conditions.
|
||||
|
||||
\begin{table}
|
||||
\centering
|
||||
\begin{tabular}{@{}ll@{}}
|
||||
\toprule
|
||||
\textbf{Parameters} & \textbf{Values} \\\midrule
|
||||
Content preparation & Octree, $k$-d tree \\
|
||||
Utility & Offline, Online, Proposed \\
|
||||
Streaming policy & Greedy, Proposed \\
|
||||
Grouping of Segments & Sorted based on area, Unsorted\\
|
||||
Bandwidth & 2.5 Mbps, 5 Mbps, 10 Mbps \\\bottomrule
|
||||
\end{tabular}
|
||||
\caption{Different parameters in our experiments\label{table:experiments}}
|
||||
\end{table}
|
||||
|
||||
\subsection{Experimental Results}
|
||||
\begin{figure}
|
||||
\centering
|
||||
\begin{tikzpicture}
|
||||
\begin{axis}[
|
||||
xlabel=Time (in s),
|
||||
ylabel=PSNR,
|
||||
no markers,
|
||||
cycle list name=mystyle,
|
||||
width=\tikzwidth,
|
||||
height=\tikzheight,
|
||||
legend pos=south east,
|
||||
xmin=0,
|
||||
xmax=90,
|
||||
x label style={at={(axis description cs:0.5,0.05)},anchor=north},
|
||||
y label style={at={(axis description cs:0.125,.5)},anchor=south},
|
||||
]
|
||||
\addplot table [y=psnr, x=time]{assets/dash-3d/gnuplot/1/curve.dat};
|
||||
\addlegendentry{\scriptsize $k$-d tree}
|
||||
\addplot table [y=psnr, x=time]{assets/dash-3d/gnuplot/2/curve.dat};
|
||||
\addlegendentry{\scriptsize octree}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
\caption{Impact of the space-partitioning tree on the rendering quality with a 5Mbps bandwidth.\label{fig:preparation}}
|
||||
\end{figure}
|
||||
|
||||
Figure~\ref{fig:preparation} shows how the space partition can affect the rendering quality.
|
||||
We use our proposed utility metrics (see Section~\ref{subsec:utility}) and streaming policy from Equation (\ref{eq:smart}), on content divided into adaptation sets obtained either using a $k$-d tree or an Octree and run experiments on all camera paths at 5 Mbps.
|
||||
The octree partitions content into non-homogeneous adaptation sets; as a result, some adaptation sets may contain smaller segments, which contain both important (large) and non-important polygons. For the $k$-d tree, we create cells containing the same number of faces $N_a$ (here, we take $N_a=10k$).
|
||||
Figure~\ref{fig:preparation} shows that the system seems to be slightly less efficient with an Octree than with a $k$-d tree based partition, but this result is not significant.
|
||||
For the remaining experiments, partitioning is based on a $k$-d tree.
|
||||
|
||||
\begin{figure}
|
||||
\centering
|
||||
\begin{tikzpicture}
|
||||
\begin{axis}[
|
||||
xlabel=Time (in s),
|
||||
ylabel=PSNR,
|
||||
no markers,
|
||||
cycle list name=mystyle,
|
||||
width=\tikzwidth,
|
||||
height=\tikzheight,
|
||||
legend pos=south east,
|
||||
xmin=0,
|
||||
xmax=90,
|
||||
x label style={at={(axis description cs:0.5,0.05)},anchor=north},
|
||||
y label style={at={(axis description cs:0.125,.5)},anchor=south},
|
||||
]
|
||||
\addplot table [y=psnr, x=time]{assets/dash-3d/gnuplot/1/curve.dat};
|
||||
\addlegendentry{\scriptsize Proposed}
|
||||
\addplot table [y=psnr, x=time]{assets/dash-3d/gnuplot/3/curve.dat};
|
||||
\addlegendentry{\scriptsize Online only}
|
||||
\addplot table [y=psnr, x=time]{assets/dash-3d/gnuplot/4/curve.dat};
|
||||
\addlegendentry{\scriptsize Offline only}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
\caption{Impact of the segment utility metric on the rendering qualit with a 5Mbps bandwidth.\label{fig:utility}}
|
||||
\end{figure}
|
||||
|
||||
Figure~\ref{fig:utility} displays how a utility metric should take advantage of both offline and online features.
|
||||
The experiments consider $k$-d tree cell for adaptation sets and the proposed streaming policy, on all camera paths.
|
||||
We observe that a purely offline utility metric leads to poor PSNR results.
|
||||
An online-only utility improves the results, as it takes the user viewing frustum into consideration, but still, the proposed utility (in Section~\ref{subsec:utility}) performs better.
|
||||
|
||||
\begin{figure}
|
||||
\centering
|
||||
\begin{tikzpicture}
|
||||
\begin{axis}[
|
||||
xlabel=Time (in s),
|
||||
ylabel=PSNR,
|
||||
no markers,
|
||||
cycle list name=mystyle,
|
||||
width=\tikzwidth,
|
||||
height=\tikzheight,
|
||||
legend pos=south east,
|
||||
xmin=0,
|
||||
xmax=90,
|
||||
x label style={at={(axis description cs:0.5,0.05)},anchor=north},
|
||||
y label style={at={(axis description cs:0.125,.5)},anchor=south},
|
||||
]
|
||||
\addplot table [y=psnr, x=time]{assets/dash-3d/gnuplot/1/curve.dat};
|
||||
\addlegendentry{\scriptsize Sorting the faces by area}
|
||||
\addplot table [y=psnr, x=time]{assets/dash-3d/gnuplot/5/curve.dat};
|
||||
\addlegendentry{\scriptsize Without sorting the faces}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
\caption{Impact of creating the segments of an adaptation set based on decreasing 3D area of faces with a 5Mbps bandwidth.}\label{fig:sorting}
|
||||
\end{figure}
|
||||
|
||||
Figure~\ref{fig:sorting} shows the effect of grouping the segments in an adaptation set based on their area in 3D.
|
||||
Clearly, the PSNR significantly improves when the 3D area of faces is considered for creating the segments. Since all segments are of the same size, sorting the faces by area before grouping them into segments leads to a skew distribution of how useful the segments are. This skewness means that the decision that the client makes (to download those with the largest utility first) can make a bigger difference in the quality.
|
||||
|
||||
We also compared the greedy vs.\ proposed streaming policy (as shown in Figure~\ref{fig:greedyweakness}) for limited bandwidth (5 Mbps).
|
||||
The proposed scheme outperforms the greedy during the first 30s and does a better job overall.
|
||||
Table~\ref{table:greedyVsproposed} shows the average PSNR for the proposed method and the greedy method for different downloading bandwidth.
|
||||
In the first 30 sec, since there are relatively few 3D contents downloaded, making a better decision at what to download matters more: we observe during that time that the proposed method leads to 1 --- 1.9 dB better in quality terms of PSNR compared to Greedy.
|
||||
|
||||
Table~\ref{table:perc} shows the distribution of texture resolutions that are downloaded by greedy and our Proposed scheme, at different bandwidths.
|
||||
Resolution 5 is the highest and 1 is the lowest.
|
||||
The table clearly shows a weakness of the greedy policy: as the bandwidth increases, the distribution of downloaded textures resolution stays more or less the same.
|
||||
In contrast, our proposed streaming policy adapts to an increasing bandwidth by downloading higher resolution textures (13.9\% at 10 Mbps, vs. 0.3\% at 2.5 Mbps).
|
||||
In fact, an interesting feature of our proposed streaming policy is that it adapts the geometry-texture compromise to the bandwidth. The textures represent 57.3\% of the total amount of downloaded bytes at 2.5 Mbps, and 70.2\% at 10 Mbps.
|
||||
In other words, our system tends to favor geometry segments when the bandwidth is low, and favor texture segments when the bandwidth increases.
|
||||
|
||||
\begin{figure}
|
||||
\centering
|
||||
\begin{tikzpicture}
|
||||
\begin{axis}[
|
||||
xlabel=Time (in s),
|
||||
ylabel=PSNR,
|
||||
no markers,
|
||||
cycle list name=mystyle,
|
||||
width=\tikzwidth,
|
||||
height=\tikzheight,
|
||||
legend pos=south east,
|
||||
xmin=0,
|
||||
xmax=90,
|
||||
x label style={at={(axis description cs:0.5,0.05)},anchor=north},
|
||||
y label style={at={(axis description cs:0.125,.5)},anchor=south},
|
||||
]
|
||||
\addplot table [y=psnr, x=time]{assets/dash-3d/gnuplot/1/curve.dat};
|
||||
\addlegendentry{\scriptsize Proposed}
|
||||
\addplot table [y=psnr, x=time]{assets/dash-3d/gnuplot/6/curve.dat};
|
||||
\addlegendentry{\scriptsize Greedy}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
\caption{Impact of the streaming policy (greedy vs.\ proposed) with a 5 Mbps bandwidth.}\label{fig:greedyweakness}
|
||||
\end{figure}
|
||||
|
||||
\begin{table}
|
||||
\centering
|
||||
\begin{tabular}{@{}p{2.5cm}p{0.7cm}p{0.7cm}p{0.7cm}p{0.3cm}p{0.7cm}p{0.7cm}p{0.7cm}@{}}
|
||||
\toprule
|
||||
\multirow{2}{1.7cm}{} & \multicolumn{3}{c}{\textbf{First 30 Sec}} & & \multicolumn{3}{c}{\textbf{Overall}}\\
|
||||
\cline{2-8}
|
||||
BW (in Mbps) & 2.5 & 5 & 10 & & 2.5 & 5 & 10 \\
|
||||
\midrule
|
||||
Greedy & 14.4 & 19.4 & 22.1 & & 19.8 & 26.9 & 29.7 \\
|
||||
Proposed & 16.3 & 20.4 & 23.2 & & 23.8 & 28.2 & 31.1 \\
|
||||
\bottomrule
|
||||
\end{tabular}
|
||||
\caption{Average PSNR, Greedy vs. Proposed\label{table:greedyVsproposed}}
|
||||
\end{table}
|
||||
|
||||
\begin{table}
|
||||
\centering
|
||||
\renewcommand{\arraystretch}{1.2}
|
||||
\begin{tabular}{@{}cccc@{}}
|
||||
\textbf{Resolutions} & \textbf{2.5 Mbps} & \textbf{5 Mbps} & \textbf{10 Mbps} \\
|
||||
\toprule
|
||||
1 & 5.7\% vs 1.4\% & 6.3\% vs 1.4\% & 6.17\% vs 1.4\% \\
|
||||
2 & 10.9\% vs 8.6\% & 13.3\% vs 7.8\% & 14.0\% vs 8.3\%\\
|
||||
3 & 15.3\% vs 28.6\% & 20.1\% vs 24.3\% & 20.9\% vs 22.5\% \\
|
||||
4 & 14.6\% vs 18.4\% & 14.4\% vs 25.2\% & 14.2\% vs 24.1\% \\
|
||||
5 & 11.4\% vs 0.3\% & 11.1\% vs 5.9\% & 11.5\% vs 13.9\% \\\bottomrule
|
||||
\end{tabular}
|
||||
\caption{Percentages of downloaded bytes for textures from each resolution, for the greedy streaming policy (left) and for our proposed scheme (right)\label{table:perc}}
|
||||
\end{table}
|
||||
|
||||
|
|
@ -0,0 +1,20 @@
|
|||
\chapter{DASH-3D}
|
||||
\input{dash-3d/content-preparation}
|
||||
\input{dash-3d/client}
|
||||
\input{dash-3d/evaluation}
|
||||
|
||||
|
||||
% \section{Streaming}
|
||||
%
|
||||
% \subsection{Content preparation}
|
||||
%
|
||||
% \written{ACMMM 18}
|
||||
%
|
||||
% \subsection{Client}
|
||||
%
|
||||
% \written{ACMMM 18}
|
||||
%
|
||||
% \section{Rendering}
|
||||
%
|
||||
% \missing{everything}
|
||||
%
|
||||
|
|
@ -0,0 +1,33 @@
|
|||
\definecolor{colKeys}{rgb}{0,0.5,0}
|
||||
\definecolor{colIdentifier}{rgb}{0,0,0}
|
||||
\definecolor{colComments}{rgb}{0,0.5,1}
|
||||
\definecolor{colString}{rgb}{0.6,0.1,0.1}
|
||||
\definecolor{colBackground}{rgb}{0.95,0.95,1}
|
||||
\lstset{%configuration de listings
|
||||
float=hbp,%
|
||||
basicstyle=\ttfamily\small,%
|
||||
%
|
||||
identifierstyle=\color{colIdentifier}, %
|
||||
keywordstyle=\color{colKeys}, %
|
||||
stringstyle=\color{colString}, %
|
||||
commentstyle=\color{colComments}\textit, %
|
||||
%
|
||||
backgroundcolor=\color{colBackground},%
|
||||
%
|
||||
columns=flexible, %
|
||||
tabsize=2, %
|
||||
frame=trbl, %
|
||||
%frameround=tttt,%
|
||||
extendedchars=true, %
|
||||
showspaces=false, %
|
||||
showstringspaces=false, %
|
||||
numbers=left, %
|
||||
numberstyle=\tiny, %
|
||||
breaklines=true, %
|
||||
breakautoindent=true, %
|
||||
captionpos=b,%
|
||||
xrightmargin=0.2cm, %
|
||||
xleftmargin=0.2cm,
|
||||
emphstyle={\color{DarkGreen}},
|
||||
language=XML
|
||||
}
|
||||
|
|
@ -1,7 +1,9 @@
|
|||
\documentclass{book}
|
||||
|
||||
\usepackage{commands}
|
||||
\usepackage{listings}
|
||||
\usepackage{config}
|
||||
\usepackage{listing-config}
|
||||
|
||||
\begin{document}
|
||||
|
||||
|
|
|
|||
31
src/plan.tex
31
src/plan.tex
|
|
@ -34,21 +34,7 @@ Avoiding as much as possible server-side computations
|
|||
|
||||
\written{MMSys 16, ACMMM 18}
|
||||
|
||||
\chapter{DASH-3D}
|
||||
|
||||
\section{Streaming}
|
||||
|
||||
\subsection{Content preparation}
|
||||
|
||||
\written{ACMMM 18}
|
||||
|
||||
\subsection{Client}
|
||||
|
||||
\written{ACMMM 18}
|
||||
|
||||
\section{Rendering}
|
||||
|
||||
\missing{everything}
|
||||
\input{dash-3d/main.tex}
|
||||
|
||||
\part{3D Interaction}
|
||||
|
||||
|
|
@ -66,17 +52,4 @@ Avoiding as much as possible server-side computations
|
|||
|
||||
\written{MMSys 16}
|
||||
|
||||
\chapter{System bookmarks}
|
||||
|
||||
\section{Bookmark interaction}
|
||||
|
||||
\unpublished{MMSys 18}
|
||||
|
||||
\section{QoS improvement with bookmarks}
|
||||
|
||||
\written{MMSys 16}
|
||||
|
||||
\unpublished{MMSys 18}
|
||||
|
||||
\include{user-study}
|
||||
|
||||
\input{system-bookmarks/main}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,13 @@
|
|||
\chapter{System bookmarks}
|
||||
|
||||
\section{Bookmark interaction}
|
||||
|
||||
\unpublished{MMSys 18}
|
||||
|
||||
\section{QoS improvement with bookmarks}
|
||||
|
||||
\written{MMSys 16}
|
||||
|
||||
\unpublished{MMSys 18}
|
||||
|
||||
\input{system-bookmarks/user-study}
|
||||
Loading…
Reference in New Issue