Dataset: compression

Click on any test image to see the reference image. Click on any predicted distortion map to see observers' markings


AlexaDrums-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 4
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0618
Spear. correl = -0.134
RMSE = 0.177
Likelihood = -0.855

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0537
Spear. correl = 0.0226
RMSE = 0.16
Likelihood = -0.781

Metric: T-sCIELab


Prediction map
Pear. correl = -0.118
Spear. correl = -0.0374
RMSE = 0.189
Likelihood = -0.804

Metric: T-SSIM


Prediction map
Pear. correl = -0.169
Spear. correl = -0.183
RMSE = 0.189
Likelihood = -1.09

Metric: T-FSIM


Prediction map
Pear. correl = 0.174
Spear. correl = 0.163
RMSE = 0.171
Likelihood = -0.768

Metric: T-VSI


Prediction map
Pear. correl = 0.199
Spear. correl = 0.188
RMSE = 0.183
Likelihood = -0.763

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.411
Spear. correl = 0.386
RMSE = 0.123
Likelihood = -0.585

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.102
Spear. correl = -0.149
RMSE = 0.155
Likelihood = -0.848

Metric: CNN


Prediction map
Pear. correl = 0.537
Spear. correl = 0.585
RMSE = 0.115
Likelihood = -0.507

AlexaDrums-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 4
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.517
Spear. correl = 0.48
RMSE = 0.383
Likelihood = -1.72

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.462
Spear. correl = 0.462
RMSE = 0.434
Likelihood = -1.88

Metric: T-sCIELab


Prediction map
Pear. correl = 0.32
Spear. correl = 0.393
RMSE = 0.426
Likelihood = -1.75

Metric: T-SSIM


Prediction map
Pear. correl = 0.512
Spear. correl = 0.48
RMSE = 0.365
Likelihood = -1.52

Metric: T-FSIM


Prediction map
Pear. correl = 0.454
Spear. correl = 0.432
RMSE = 0.323
Likelihood = -1.41

Metric: T-VSI


Prediction map
Pear. correl = 0.488
Spear. correl = 0.448
RMSE = 0.304
Likelihood = -1.34

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.663
Spear. correl = 0.481
RMSE = 0.247
Likelihood = -1.33

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.469
Spear. correl = 0.464
RMSE = 0.306
Likelihood = -1.46

Metric: CNN


Prediction map
Pear. correl = 0.811
Spear. correl = 0.704
RMSE = 0.127
Likelihood = -0.825

AlexaDrums-01: lev=3 ppd=60

Observer marking

Cross-validation fold: 4
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.63
Spear. correl = 0.651
RMSE = 0.515
Likelihood = -1.92

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.591
Spear. correl = 0.651
RMSE = 0.584
Likelihood = -1.98

Metric: T-sCIELab


Prediction map
Pear. correl = 0.585
Spear. correl = 0.665
RMSE = 0.528
Likelihood = -1.89

Metric: T-SSIM


Prediction map
Pear. correl = 0.7
Spear. correl = 0.689
RMSE = 0.454
Likelihood = -1.76

Metric: T-FSIM


Prediction map
Pear. correl = 0.733
Spear. correl = 0.609
RMSE = 0.322
Likelihood = -1.42

Metric: T-VSI


Prediction map
Pear. correl = 0.742
Spear. correl = 0.604
RMSE = 0.309
Likelihood = -1.33

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.866
Spear. correl = 0.733
RMSE = 0.252
Likelihood = -1.31

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.836
Spear. correl = 0.701
RMSE = 0.219
Likelihood = -1.11

Metric: CNN


Prediction map
Pear. correl = 0.935
Spear. correl = 0.749
RMSE = 0.107
Likelihood = -0.645

AlexaDrums-02: lev=1 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0682
Spear. correl = -0.0929
RMSE = 0.188
Likelihood = -0.748

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.25
Spear. correl = -0.292
RMSE = 0.218
Likelihood = -0.851

Metric: T-sCIELab


Prediction map
Pear. correl = -0.16
Spear. correl = -0.187
RMSE = 0.203
Likelihood = -0.822

Metric: T-SSIM


Prediction map
Pear. correl = -0.143
Spear. correl = -0.139
RMSE = 0.21
Likelihood = -0.892

Metric: T-FSIM


Prediction map
Pear. correl = 0.134
Spear. correl = 0.171
RMSE = 0.207
Likelihood = -0.915

Metric: T-VSI


Prediction map
Pear. correl = 0.134
Spear. correl = 0.146
RMSE = 0.188
Likelihood = -0.762

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.302
Spear. correl = 0.38
RMSE = 0.175
Likelihood = -0.716

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.254
Spear. correl = 0.296
RMSE = 0.225
Likelihood = -1.1

Metric: CNN


Prediction map
Pear. correl = 0.615
Spear. correl = 0.556
RMSE = 0.162
Likelihood = -0.716

AlexaDrums-02: lev=2 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0265
Spear. correl = -0.0174
RMSE = 0.367
Likelihood = -1.49

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.194
Spear. correl = -0.192
RMSE = 0.413
Likelihood = -1.57

Metric: T-sCIELab


Prediction map
Pear. correl = -0.16
Spear. correl = -0.164
RMSE = 0.452
Likelihood = -1.79

Metric: T-SSIM


Prediction map
Pear. correl = -0.0948
Spear. correl = -0.0868
RMSE = 0.389
Likelihood = -1.47

Metric: T-FSIM


Prediction map
Pear. correl = 0.154
Spear. correl = 0.185
RMSE = 0.341
Likelihood = -1.4

Metric: T-VSI


Prediction map
Pear. correl = 0.139
Spear. correl = 0.158
RMSE = 0.315
Likelihood = -1.34

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.23
Spear. correl = 0.243
RMSE = 0.311
Likelihood = -1.46

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.172
Spear. correl = 0.155
RMSE = 0.399
Likelihood = -1.74

Metric: CNN


Prediction map
Pear. correl = 0.608
Spear. correl = 0.591
RMSE = 0.218
Likelihood = -1.24

AlexaDrums-02: lev=3 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.365
Spear. correl = 0.322
RMSE = 0.547
Likelihood = -1.86

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.297
Spear. correl = 0.25
RMSE = 0.608
Likelihood = -1.93

Metric: T-sCIELab


Prediction map
Pear. correl = 0.277
Spear. correl = 0.226
RMSE = 0.618
Likelihood = -1.95

Metric: T-SSIM


Prediction map
Pear. correl = 0.369
Spear. correl = 0.288
RMSE = 0.512
Likelihood = -1.75

Metric: T-FSIM


Prediction map
Pear. correl = 0.42
Spear. correl = 0.255
RMSE = 0.359
Likelihood = -1.42

Metric: T-VSI


Prediction map
Pear. correl = 0.444
Spear. correl = 0.292
RMSE = 0.364
Likelihood = -1.47

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.54
Spear. correl = 0.372
RMSE = 0.318
Likelihood = -1.51

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.59
Spear. correl = 0.409
RMSE = 0.316
Likelihood = -1.51

Metric: CNN


Prediction map
Pear. correl = 0.716
Spear. correl = 0.432
RMSE = 0.137
Likelihood = -0.834

FemaleStripedHorseFly-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0514
Spear. correl = -0.0516
RMSE = 0.125
Likelihood = -0.49

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.0676
Spear. correl = -0.0154
RMSE = 0.116
Likelihood = -0.357

Metric: T-sCIELab


Prediction map
Pear. correl = 0.339
Spear. correl = 0.365
RMSE = 0.0569
Likelihood = 0.0126

Metric: T-SSIM


Prediction map
Pear. correl = -0.0841
Spear. correl = -0.0896
RMSE = 0.0686
Likelihood = -0.0475

Metric: T-FSIM


Prediction map
Pear. correl = 0.209
Spear. correl = 0.251
RMSE = 0.0792
Likelihood = -0.0652

Metric: T-VSI


Prediction map
Pear. correl = 0.204
Spear. correl = 0.238
RMSE = 0.0868
Likelihood = -0.149

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.436
Spear. correl = 0.361
RMSE = 0.051
Likelihood = 0.0643

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.0935
Spear. correl = 0.219
RMSE = 0.0982
Likelihood = -0.131

Metric: CNN


Prediction map
Pear. correl = 0.328
Spear. correl = 0.304
RMSE = 0.0931
Likelihood = -0.0748

FemaleStripedHorseFly-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0514
Spear. correl = 0.0856
RMSE = 0.162
Likelihood = -0.686

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.0735
Spear. correl = 0.111
RMSE = 0.167
Likelihood = -0.6

Metric: T-sCIELab


Prediction map
Pear. correl = 0.174
Spear. correl = 0.314
RMSE = 0.0955
Likelihood = -0.213

Metric: T-SSIM


Prediction map
Pear. correl = -0.0734
Spear. correl = 0.0845
RMSE = 0.103
Likelihood = -0.226

Metric: T-FSIM


Prediction map
Pear. correl = 0.158
Spear. correl = 0.281
RMSE = 0.112
Likelihood = -0.235

Metric: T-VSI


Prediction map
Pear. correl = 0.162
Spear. correl = 0.279
RMSE = 0.117
Likelihood = -0.308

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.44
Spear. correl = 0.326
RMSE = 0.0761
Likelihood = -0.131

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.137
Spear. correl = 0.0992
RMSE = 0.118
Likelihood = -0.312

Metric: CNN


Prediction map
Pear. correl = 0.413
Spear. correl = 0.248
RMSE = 0.102
Likelihood = -0.272

FemaleStripedHorseFly-01: lev=3 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0862
Spear. correl = 0.0713
RMSE = 0.205
Likelihood = -0.811

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.0967
Spear. correl = 0.119
RMSE = 0.224
Likelihood = -0.842

Metric: T-sCIELab


Prediction map
Pear. correl = 0.117
Spear. correl = 0.265
RMSE = 0.129
Likelihood = -0.328

Metric: T-SSIM


Prediction map
Pear. correl = -0.104
Spear. correl = 0.121
RMSE = 0.158
Likelihood = -0.648

Metric: T-FSIM


Prediction map
Pear. correl = 0.127
Spear. correl = 0.355
RMSE = 0.146
Likelihood = -0.404

Metric: T-VSI


Prediction map
Pear. correl = 0.107
Spear. correl = 0.333
RMSE = 0.15
Likelihood = -0.421

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.455
Spear. correl = 0.51
RMSE = 0.104
Likelihood = -0.222

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.145
Spear. correl = 0.17
RMSE = 0.142
Likelihood = -0.376

Metric: CNN


Prediction map
Pear. correl = 0.551
Spear. correl = 0.387
RMSE = 0.105
Likelihood = -0.461

FemaleStripedHorseFly-02: lev=1 ppd=60

Observer marking

Cross-validation fold: 1
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.305
Spear. correl = -0.384
RMSE = 0.188
Likelihood = -0.771

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.494
Spear. correl = -0.539
RMSE = 0.211
Likelihood = -0.921

Metric: T-sCIELab


Prediction map
Pear. correl = 0.0916
Spear. correl = 0.175
RMSE = 0.172
Likelihood = -0.639

Metric: T-SSIM


Prediction map
Pear. correl = -0.234
Spear. correl = -0.438
RMSE = 0.21
Likelihood = -1.01

Metric: T-FSIM


Prediction map
Pear. correl = 0.0568
Spear. correl = 0.033
RMSE = 0.186
Likelihood = -0.793

Metric: T-VSI


Prediction map
Pear. correl = -0.0102
Spear. correl = -0.0592
RMSE = 0.188
Likelihood = -0.78

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.644
Spear. correl = 0.601
RMSE = 0.158
Likelihood = -0.605

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.557
Spear. correl = 0.481
RMSE = 0.196
Likelihood = -0.937

Metric: CNN


Prediction map
Pear. correl = -0.0817
Spear. correl = -0.137
RMSE = 0.194
Likelihood = -0.772

FemaleStripedHorseFly-02: lev=2 ppd=60

Observer marking

Cross-validation fold: 1
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.365
Spear. correl = -0.321
RMSE = 0.281
Likelihood = -1.06

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.527
Spear. correl = -0.452
RMSE = 0.303
Likelihood = -1.17

Metric: T-sCIELab


Prediction map
Pear. correl = -0.176
Spear. correl = -0.181
RMSE = 0.266
Likelihood = -0.944

Metric: T-SSIM


Prediction map
Pear. correl = -0.416
Spear. correl = -0.536
RMSE = 0.315
Likelihood = -1.12

Metric: T-FSIM


Prediction map
Pear. correl = 0.0442
Spear. correl = 0.045
RMSE = 0.281
Likelihood = -1.09

Metric: T-VSI


Prediction map
Pear. correl = -0.0411
Spear. correl = -0.0724
RMSE = 0.28
Likelihood = -1.05

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.488
Spear. correl = 0.506
RMSE = 0.249
Likelihood = -0.911

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.343
Spear. correl = 0.316
RMSE = 0.302
Likelihood = -1.22

Metric: CNN


Prediction map
Pear. correl = 0.187
Spear. correl = 0.124
RMSE = 0.27
Likelihood = -1.02

FemaleStripedHorseFly-02: lev=3 ppd=60

Observer marking

Cross-validation fold: 1
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.408
Spear. correl = -0.284
RMSE = 0.429
Likelihood = -1.35

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.557
Spear. correl = -0.423
RMSE = 0.448
Likelihood = -1.38

Metric: T-sCIELab


Prediction map
Pear. correl = -0.221
Spear. correl = -0.239
RMSE = 0.417
Likelihood = -1.25

Metric: T-SSIM


Prediction map
Pear. correl = -0.56
Spear. correl = -0.542
RMSE = 0.472
Likelihood = -1.36

Metric: T-FSIM


Prediction map
Pear. correl = -0.229
Spear. correl = -0.221
RMSE = 0.442
Likelihood = -1.4

Metric: T-VSI


Prediction map
Pear. correl = -0.304
Spear. correl = -0.277
RMSE = 0.443
Likelihood = -1.39

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.157
Spear. correl = 0.182
RMSE = 0.384
Likelihood = -1.22

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.336
Spear. correl = -0.302
RMSE = 0.456
Likelihood = -1.42

Metric: CNN


Prediction map
Pear. correl = 0.309
Spear. correl = 0.276
RMSE = 0.388
Likelihood = -1.28

HintergrundMusik-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 1
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0964
Spear. correl = -0.114
RMSE = 0.23
Likelihood = -0.919

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.105
Spear. correl = -0.104
RMSE = 0.213
Likelihood = -0.76

Metric: T-sCIELab


Prediction map
Pear. correl = -0.153
Spear. correl = -0.178
RMSE = 0.29
Likelihood = -0.775

Metric: T-SSIM


Prediction map
Pear. correl = -0.0601
Spear. correl = -0.106
RMSE = 0.266
Likelihood = -0.858

Metric: T-FSIM


Prediction map
Pear. correl = 0.0298
Spear. correl = -0.0149
RMSE = 0.103
Likelihood = -0.118

Metric: T-VSI


Prediction map
Pear. correl = 0.0015
Spear. correl = -0.0402
RMSE = 0.154
Likelihood = -0.361

Metric: T-Butteraugli


Prediction map
Pear. correl = -0.0778
Spear. correl = -0.11
RMSE = 0.0822
Likelihood = -0.164

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.152
Spear. correl = -0.193
RMSE = 0.0399
Likelihood = 0.0403

Metric: CNN


Prediction map
Pear. correl = 0.297
Spear. correl = 0.282
RMSE = 0.0233
Likelihood = 0.193

HintergrundMusik-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 1
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0667
Spear. correl = 0.0256
RMSE = 0.275
Likelihood = -1.25

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.135
Spear. correl = -0.163
RMSE = 0.257
Likelihood = -1.1

Metric: T-sCIELab


Prediction map
Pear. correl = -0.194
Spear. correl = -0.128
RMSE = 0.372
Likelihood = -1.04

Metric: T-SSIM


Prediction map
Pear. correl = -0.0745
Spear. correl = -0.13
RMSE = 0.366
Likelihood = -1.35

Metric: T-FSIM


Prediction map
Pear. correl = 0.223
Spear. correl = 0.184
RMSE = 0.163
Likelihood = -0.648

Metric: T-VSI


Prediction map
Pear. correl = 0.18
Spear. correl = 0.127
RMSE = 0.238
Likelihood = -0.885

Metric: T-Butteraugli


Prediction map
Pear. correl = -0.0143
Spear. correl = -0.0484
RMSE = 0.123
Likelihood = -0.479

Metric: T-HDR-VDP


Prediction map
Pear. correl = 2.45e-06
Spear. correl = 0.0342
RMSE = 0.0904
Likelihood = -0.337

Metric: CNN


Prediction map
Pear. correl = 0.177
Spear. correl = 0.138
RMSE = 0.054
Likelihood = -0.241

HintergrundMusik-01: lev=3 ppd=60

Observer marking

Cross-validation fold: 1
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.272
Spear. correl = 0.233
RMSE = 0.317
Likelihood = -1.27

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0103
Spear. correl = -0.0152
RMSE = 0.304
Likelihood = -1.15

Metric: T-sCIELab


Prediction map
Pear. correl = -0.0377
Spear. correl = 0.028
RMSE = 0.451
Likelihood = -1.14

Metric: T-SSIM


Prediction map
Pear. correl = 0.156
Spear. correl = 0.0523
RMSE = 0.487
Likelihood = -1.48

Metric: T-FSIM


Prediction map
Pear. correl = 0.281
Spear. correl = 0.315
RMSE = 0.233
Likelihood = -0.86

Metric: T-VSI


Prediction map
Pear. correl = 0.242
Spear. correl = 0.234
RMSE = 0.327
Likelihood = -1.13

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.0699
Spear. correl = 0.0692
RMSE = 0.22
Likelihood = -0.74

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.255
Spear. correl = 0.296
RMSE = 0.185
Likelihood = -0.588

Metric: CNN


Prediction map
Pear. correl = 0.232
Spear. correl = 0.21
RMSE = 0.107
Likelihood = -0.419

HintergrundMusik-02: lev=1 ppd=60

Observer marking

Cross-validation fold: 1
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0497
Spear. correl = 0.0319
RMSE = 0.301
Likelihood = -0.895

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.047
Spear. correl = 0.0369
RMSE = 0.242
Likelihood = -0.716

Metric: T-sCIELab


Prediction map
Pear. correl = -0.0132
Spear. correl = -0.00153
RMSE = 0.322
Likelihood = -0.916

Metric: T-SSIM


Prediction map
Pear. correl = 0.134
Spear. correl = 0.133
RMSE = 0.331
Likelihood = -0.953

Metric: T-FSIM


Prediction map
Pear. correl = 0.141
Spear. correl = 0.135
RMSE = 0.165
Likelihood = -0.25

Metric: T-VSI


Prediction map
Pear. correl = 0.112
Spear. correl = 0.125
RMSE = 0.228
Likelihood = -0.442

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.11
Spear. correl = 0.1
RMSE = 0.12
Likelihood = -0.306

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.0171
Spear. correl = 0.0302
RMSE = 0.0943
Likelihood = -0.161

Metric: CNN


Prediction map
Pear. correl = 0.0323
Spear. correl = 0.0351
RMSE = 0.084
Likelihood = -0.139

HintergrundMusik-02: lev=2 ppd=60

Observer marking

Cross-validation fold: 1
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.57
Spear. correl = 0.564
RMSE = 0.321
Likelihood = -0.963

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.477
Spear. correl = 0.503
RMSE = 0.264
Likelihood = -0.78

Metric: T-sCIELab


Prediction map
Pear. correl = 0.437
Spear. correl = 0.505
RMSE = 0.369
Likelihood = -0.91

Metric: T-SSIM


Prediction map
Pear. correl = 0.592
Spear. correl = 0.562
RMSE = 0.431
Likelihood = -1.09

Metric: T-FSIM


Prediction map
Pear. correl = 0.434
Spear. correl = 0.615
RMSE = 0.215
Likelihood = -0.478

Metric: T-VSI


Prediction map
Pear. correl = 0.505
Spear. correl = 0.639
RMSE = 0.281
Likelihood = -0.632

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.664
Spear. correl = 0.682
RMSE = 0.156
Likelihood = -0.395

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.572
Spear. correl = 0.634
RMSE = 0.153
Likelihood = -0.399

Metric: CNN


Prediction map
Pear. correl = 0.678
Spear. correl = 0.697
RMSE = 0.0679
Likelihood = -0.13

HintergrundMusik-02: lev=3 ppd=60

Observer marking

Cross-validation fold: 1
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.811
Spear. correl = 0.713
RMSE = 0.256
Likelihood = -1.34

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.726
Spear. correl = 0.659
RMSE = 0.224
Likelihood = -1.27

Metric: T-sCIELab


Prediction map
Pear. correl = 0.706
Spear. correl = 0.609
RMSE = 0.367
Likelihood = -1.19

Metric: T-SSIM


Prediction map
Pear. correl = 0.832
Spear. correl = 0.674
RMSE = 0.427
Likelihood = -1.6

Metric: T-FSIM


Prediction map
Pear. correl = 0.728
Spear. correl = 0.754
RMSE = 0.262
Likelihood = -1.16

Metric: T-VSI


Prediction map
Pear. correl = 0.794
Spear. correl = 0.766
RMSE = 0.31
Likelihood = -1.32

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.884
Spear. correl = 0.819
RMSE = 0.195
Likelihood = -0.894

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.885
Spear. correl = 0.844
RMSE = 0.274
Likelihood = -0.865

Metric: CNN


Prediction map
Pear. correl = 0.707
Spear. correl = 0.679
RMSE = 0.1
Likelihood = -0.653

Peacock-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0249
Spear. correl = 0.0222
RMSE = 0.296
Likelihood = -1.4

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.087
Spear. correl = 0.0971
RMSE = 0.182
Likelihood = -0.811

Metric: T-sCIELab


Prediction map
Pear. correl = -0.0909
Spear. correl = -0.0811
RMSE = 0.26
Likelihood = -0.858

Metric: T-SSIM


Prediction map
Pear. correl = 0.0772
Spear. correl = 0.0737
RMSE = 0.21
Likelihood = -0.989

Metric: T-FSIM


Prediction map
Pear. correl = 0.00425
Spear. correl = 0.00394
RMSE = 0.123
Likelihood = -0.281

Metric: T-VSI


Prediction map
Pear. correl = 4.11e-05
Spear. correl = 0.01
RMSE = 0.143
Likelihood = -0.41

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.133
Spear. correl = 0.197
RMSE = 0.0396
Likelihood = 0.0256

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.0333
Spear. correl = 0.0729
RMSE = 0.0364
Likelihood = 0.0257

Metric: CNN


Prediction map
Pear. correl = 0.176
Spear. correl = 0.25
RMSE = 0.0256
Likelihood = -0.0271

Peacock-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.00786
Spear. correl = 0.0127
RMSE = 0.408
Likelihood = -1.54

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0554
Spear. correl = 0.0741
RMSE = 0.239
Likelihood = -1.02

Metric: T-sCIELab


Prediction map
Pear. correl = -0.246
Spear. correl = -0.225
RMSE = 0.338
Likelihood = -1.05

Metric: T-SSIM


Prediction map
Pear. correl = 0.0655
Spear. correl = 0.0752
RMSE = 0.416
Likelihood = -1.57

Metric: T-FSIM


Prediction map
Pear. correl = 0.0297
Spear. correl = 0.0469
RMSE = 0.218
Likelihood = -0.696

Metric: T-VSI


Prediction map
Pear. correl = 0.0328
Spear. correl = 0.0519
RMSE = 0.232
Likelihood = -0.783

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.252
Spear. correl = 0.336
RMSE = 0.096
Likelihood = -0.36

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.153
Spear. correl = 0.15
RMSE = 0.0969
Likelihood = -0.397

Metric: CNN


Prediction map
Pear. correl = 0.451
Spear. correl = 0.497
RMSE = 0.0679
Likelihood = -0.245

Peacock-01: lev=3 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.135
Spear. correl = -0.109
RMSE = 0.382
Likelihood = -1.14

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.000505
Spear. correl = 0.00226
RMSE = 0.217
Likelihood = -0.829

Metric: T-sCIELab


Prediction map
Pear. correl = -0.333
Spear. correl = -0.33
RMSE = 0.333
Likelihood = -1.09

Metric: T-SSIM


Prediction map
Pear. correl = -0.193
Spear. correl = -0.149
RMSE = 0.467
Likelihood = -1.31

Metric: T-FSIM


Prediction map
Pear. correl = 0.208
Spear. correl = 0.202
RMSE = 0.255
Likelihood = -0.967

Metric: T-VSI


Prediction map
Pear. correl = 0.203
Spear. correl = 0.201
RMSE = 0.252
Likelihood = -0.9

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.559
Spear. correl = 0.566
RMSE = 0.128
Likelihood = -0.654

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.489
Spear. correl = 0.446
RMSE = 0.142
Likelihood = -0.686

Metric: CNN


Prediction map
Pear. correl = 0.611
Spear. correl = 0.63
RMSE = 0.149
Likelihood = -0.861

Peacock-02: lev=1 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0172
Spear. correl = -0.0187
RMSE = 0.364
Likelihood = -1.51

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.0339
Spear. correl = -0.0568
RMSE = 0.228
Likelihood = -0.987

Metric: T-sCIELab


Prediction map
Pear. correl = 0.0141
Spear. correl = 0.0354
RMSE = 0.182
Likelihood = -0.567

Metric: T-SSIM


Prediction map
Pear. correl = -0.0331
Spear. correl = -0.0204
RMSE = 0.315
Likelihood = -1.33

Metric: T-FSIM


Prediction map
Pear. correl = 0.0138
Spear. correl = 0.0436
RMSE = 0.228
Likelihood = -0.656

Metric: T-VSI


Prediction map
Pear. correl = 0.0266
Spear. correl = 0.0599
RMSE = 0.228
Likelihood = -0.591

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.0261
Spear. correl = -0.00424
RMSE = 0.112
Likelihood = -0.39

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.0339
Spear. correl = 0.014
RMSE = 0.0888
Likelihood = -0.297

Metric: CNN


Prediction map
Pear. correl = -0.152
Spear. correl = -0.19
RMSE = 0.105
Likelihood = -0.398

Peacock-02: lev=2 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0985
Spear. correl = -0.0969
RMSE = 0.458
Likelihood = -1.57

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.123
Spear. correl = -0.146
RMSE = 0.281
Likelihood = -1.11

Metric: T-sCIELab


Prediction map
Pear. correl = -0.0486
Spear. correl = -0.0412
RMSE = 0.231
Likelihood = -0.791

Metric: T-SSIM


Prediction map
Pear. correl = -0.14
Spear. correl = -0.133
RMSE = 0.583
Likelihood = -1.71

Metric: T-FSIM


Prediction map
Pear. correl = 0.173
Spear. correl = 0.173
RMSE = 0.368
Likelihood = -1.05

Metric: T-VSI


Prediction map
Pear. correl = 0.174
Spear. correl = 0.187
RMSE = 0.313
Likelihood = -0.854

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.324
Spear. correl = 0.241
RMSE = 0.214
Likelihood = -0.857

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.413
Spear. correl = 0.35
RMSE = 0.225
Likelihood = -0.938

Metric: CNN


Prediction map
Pear. correl = -0.0393
Spear. correl = -0.0263
RMSE = 0.215
Likelihood = -0.901

Peacock-02: lev=3 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.264
Spear. correl = -0.257
RMSE = 0.248
Likelihood = -0.88

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.288
Spear. correl = -0.277
RMSE = 0.244
Likelihood = -1.01

Metric: T-sCIELab


Prediction map
Pear. correl = -0.182
Spear. correl = -0.171
RMSE = 0.279
Likelihood = -1.14

Metric: T-SSIM


Prediction map
Pear. correl = -0.317
Spear. correl = -0.363
RMSE = 0.409
Likelihood = -1.13

Metric: T-FSIM


Prediction map
Pear. correl = 0.153
Spear. correl = 0.163
RMSE = 0.296
Likelihood = -0.919

Metric: T-VSI


Prediction map
Pear. correl = 0.281
Spear. correl = 0.289
RMSE = 0.246
Likelihood = -0.982

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.34
Spear. correl = 0.413
RMSE = 0.191
Likelihood = -0.683

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.225
Spear. correl = 0.228
RMSE = 0.312
Likelihood = -0.874

Metric: CNN


Prediction map
Pear. correl = -0.109
Spear. correl = -0.144
RMSE = 0.225
Likelihood = -0.741

ScreenContent-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.439
Spear. correl = 0.781
RMSE = 0.123
Likelihood = -0.225

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.282
Spear. correl = 0.723
RMSE = 0.126
Likelihood = -0.154

Metric: T-sCIELab


Prediction map
Pear. correl = 0.211
Spear. correl = 0.614
RMSE = 0.0838
Likelihood = -0.125

Metric: T-SSIM


Prediction map
Pear. correl = 0.275
Spear. correl = 0.816
RMSE = 0.0842
Likelihood = -0.26

Metric: T-FSIM


Prediction map
Pear. correl = 0.348
Spear. correl = 0.79
RMSE = 0.162
Likelihood = -0.154

Metric: T-VSI


Prediction map
Pear. correl = 0.401
Spear. correl = 0.814
RMSE = 0.163
Likelihood = -0.158

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.535
Spear. correl = 0.873
RMSE = 0.0783
Likelihood = 0.00238

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.524
Spear. correl = 0.859
RMSE = 0.0537
Likelihood = 0.0566

Metric: CNN


Prediction map
Pear. correl = 0.72
Spear. correl = 0.895
RMSE = 0.0433
Likelihood = 0.0962

ScreenContent-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.366
Spear. correl = 0.546
RMSE = 0.19
Likelihood = -0.514

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.388
Spear. correl = 0.668
RMSE = 0.16
Likelihood = -0.348

Metric: T-sCIELab


Prediction map
Pear. correl = 0.186
Spear. correl = 0.523
RMSE = 0.165
Likelihood = -0.449

Metric: T-SSIM


Prediction map
Pear. correl = 0.384
Spear. correl = 0.658
RMSE = 0.205
Likelihood = -0.793

Metric: T-FSIM


Prediction map
Pear. correl = 0.374
Spear. correl = 0.553
RMSE = 0.25
Likelihood = -0.768

Metric: T-VSI


Prediction map
Pear. correl = 0.453
Spear. correl = 0.656
RMSE = 0.233
Likelihood = -0.743

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.661
Spear. correl = 0.771
RMSE = 0.111
Likelihood = -0.488

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.616
Spear. correl = 0.854
RMSE = 0.0974
Likelihood = -0.258

Metric: CNN


Prediction map
Pear. correl = 0.704
Spear. correl = 0.781
RMSE = 0.0869
Likelihood = -0.431

ScreenContent-01: lev=3 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.172
Spear. correl = 0.265
RMSE = 0.435
Likelihood = -1.44

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.541
Spear. correl = 0.475
RMSE = 0.348
Likelihood = -1.33

Metric: T-sCIELab


Prediction map
Pear. correl = 0.222
Spear. correl = 0.37
RMSE = 0.416
Likelihood = -1.51

Metric: T-SSIM


Prediction map
Pear. correl = 0.409
Spear. correl = 0.484
RMSE = 0.397
Likelihood = -1.53

Metric: T-FSIM


Prediction map
Pear. correl = 0.62
Spear. correl = 0.62
RMSE = 0.306
Likelihood = -1.23

Metric: T-VSI


Prediction map
Pear. correl = 0.709
Spear. correl = 0.706
RMSE = 0.271
Likelihood = -1.33

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.883
Spear. correl = 0.863
RMSE = 0.168
Likelihood = -0.828

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.733
Spear. correl = 0.717
RMSE = 0.242
Likelihood = -0.85

Metric: CNN


Prediction map
Pear. correl = 0.895
Spear. correl = 0.875
RMSE = 0.164
Likelihood = -0.947

ScreenContent-02: lev=1 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0101
Spear. correl = 0.297
RMSE = 0.309
Likelihood = -1.14

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.0561
Spear. correl = 0.27
RMSE = 0.342
Likelihood = -1.11

Metric: T-sCIELab


Prediction map
Pear. correl = -0.00157
Spear. correl = 0.318
RMSE = 0.178
Likelihood = -0.514

Metric: T-SSIM


Prediction map
Pear. correl = -0.0264
Spear. correl = 0.32
RMSE = 0.316
Likelihood = -1.06

Metric: T-FSIM


Prediction map
Pear. correl = 0.0822
Spear. correl = 0.276
RMSE = 0.235
Likelihood = -0.654

Metric: T-VSI


Prediction map
Pear. correl = 0.0724
Spear. correl = 0.133
RMSE = 0.259
Likelihood = -0.725

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.19
Spear. correl = 0.169
RMSE = 0.108
Likelihood = -0.393

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.00985
Spear. correl = 0.286
RMSE = 0.0893
Likelihood = -0.268

Metric: CNN


Prediction map
Pear. correl = 0.336
Spear. correl = 0.0129
RMSE = 0.0657
Likelihood = -0.218

ScreenContent-02: lev=2 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0673
Spear. correl = 0.244
RMSE = 0.364
Likelihood = -1.15

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0247
Spear. correl = 0.199
RMSE = 0.373
Likelihood = -1.08

Metric: T-sCIELab


Prediction map
Pear. correl = 0.0749
Spear. correl = 0.227
RMSE = 0.237
Likelihood = -0.723

Metric: T-SSIM


Prediction map
Pear. correl = 0.0769
Spear. correl = 0.258
RMSE = 0.497
Likelihood = -1.3

Metric: T-FSIM


Prediction map
Pear. correl = 0.0587
Spear. correl = 0.229
RMSE = 0.351
Likelihood = -0.926

Metric: T-VSI


Prediction map
Pear. correl = 0.0525
Spear. correl = 0.153
RMSE = 0.337
Likelihood = -0.948

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.118
Spear. correl = 0.235
RMSE = 0.204
Likelihood = -0.774

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.00102
Spear. correl = 0.162
RMSE = 0.233
Likelihood = -0.775

Metric: CNN


Prediction map
Pear. correl = 0.141
Spear. correl = 0.257
RMSE = 0.162
Likelihood = -0.616

ScreenContent-02: lev=3 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.706
Spear. correl = 0.615
RMSE = 0.26
Likelihood = -1.09

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.723
Spear. correl = 0.662
RMSE = 0.293
Likelihood = -1.14

Metric: T-sCIELab


Prediction map
Pear. correl = 0.675
Spear. correl = 0.651
RMSE = 0.348
Likelihood = -1.35

Metric: T-SSIM


Prediction map
Pear. correl = 0.826
Spear. correl = 0.681
RMSE = 0.23
Likelihood = -0.782

Metric: T-FSIM


Prediction map
Pear. correl = 0.758
Spear. correl = 0.627
RMSE = 0.237
Likelihood = -0.886

Metric: T-VSI


Prediction map
Pear. correl = 0.652
Spear. correl = 0.56
RMSE = 0.267
Likelihood = -1.07

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.886
Spear. correl = 0.739
RMSE = 0.141
Likelihood = -0.751

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.93
Spear. correl = 0.789
RMSE = 0.123
Likelihood = -0.519

Metric: CNN


Prediction map
Pear. correl = 0.897
Spear. correl = 0.463
RMSE = 0.131
Likelihood = -0.736

Szene-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 4
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.108
Spear. correl = 0.177
RMSE = 0.181
Likelihood = -0.769

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0661
Spear. correl = 0.265
RMSE = 0.173
Likelihood = -0.687

Metric: T-sCIELab


Prediction map
Pear. correl = -0.276
Spear. correl = -0.451
RMSE = 0.134
Likelihood = -0.473

Metric: T-SSIM


Prediction map
Pear. correl = 0.132
Spear. correl = 0.244
RMSE = 0.137
Likelihood = -0.523

Metric: T-FSIM


Prediction map
Pear. correl = 0.49
Spear. correl = 0.401
RMSE = 0.111
Likelihood = -0.286

Metric: T-VSI


Prediction map
Pear. correl = 0.54
Spear. correl = 0.432
RMSE = 0.143
Likelihood = -0.331

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.771
Spear. correl = 0.512
RMSE = 0.0405
Likelihood = -0.0485

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.871
Spear. correl = 0.773
RMSE = 0.0226
Likelihood = -0.0234

Metric: CNN


Prediction map
Pear. correl = 0.41
Spear. correl = 0.59
RMSE = 0.0445
Likelihood = -0.254

Szene-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 4
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.00293
Spear. correl = 0.129
RMSE = 0.209
Likelihood = -0.913

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.116
Spear. correl = 0.185
RMSE = 0.205
Likelihood = -0.825

Metric: T-sCIELab


Prediction map
Pear. correl = -0.218
Spear. correl = -0.455
RMSE = 0.184
Likelihood = -0.703

Metric: T-SSIM


Prediction map
Pear. correl = -0.00134
Spear. correl = 0.188
RMSE = 0.189
Likelihood = -0.799

Metric: T-FSIM


Prediction map
Pear. correl = 0.485
Spear. correl = 0.429
RMSE = 0.13
Likelihood = -0.386

Metric: T-VSI


Prediction map
Pear. correl = 0.532
Spear. correl = 0.455
RMSE = 0.156
Likelihood = -0.438

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.834
Spear. correl = 0.62
RMSE = 0.0732
Likelihood = -0.203

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.883
Spear. correl = 0.803
RMSE = 0.0788
Likelihood = -0.176

Metric: CNN


Prediction map
Pear. correl = 0.269
Spear. correl = 0.529
RMSE = 0.113
Likelihood = -0.347

Szene-01: lev=3 ppd=60

Observer marking

Cross-validation fold: 4
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0179
Spear. correl = 0.0245
RMSE = 0.21
Likelihood = -0.791

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0554
Spear. correl = 0.143
RMSE = 0.201
Likelihood = -0.748

Metric: T-sCIELab


Prediction map
Pear. correl = -0.527
Spear. correl = -0.618
RMSE = 0.274
Likelihood = -1.16

Metric: T-SSIM


Prediction map
Pear. correl = -0.0663
Spear. correl = 0.0165
RMSE = 0.237
Likelihood = -0.873

Metric: T-FSIM


Prediction map
Pear. correl = 0.466
Spear. correl = 0.426
RMSE = 0.17
Likelihood = -0.82

Metric: T-VSI


Prediction map
Pear. correl = 0.513
Spear. correl = 0.459
RMSE = 0.171
Likelihood = -0.67

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.784
Spear. correl = 0.681
RMSE = 0.126
Likelihood = -0.624

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.814
Spear. correl = 0.756
RMSE = 0.154
Likelihood = -0.734

Metric: CNN


Prediction map
Pear. correl = 0.446
Spear. correl = 0.466
RMSE = 0.195
Likelihood = -1.04

Szene-02: lev=1 ppd=60

Observer marking

Cross-validation fold: 4
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0107
Spear. correl = -0.0612
RMSE = 0.216
Likelihood = -0.931

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.21
Spear. correl = -0.167
RMSE = 0.248
Likelihood = -0.97

Metric: T-sCIELab


Prediction map
Pear. correl = 0.0124
Spear. correl = -0.0282
RMSE = 0.0704
Likelihood = -0.142

Metric: T-SSIM


Prediction map
Pear. correl = -0.0119
Spear. correl = -0.0836
RMSE = 0.186
Likelihood = -0.757

Metric: T-FSIM


Prediction map
Pear. correl = 0.233
Spear. correl = 0.104
RMSE = 0.191
Likelihood = -0.495

Metric: T-VSI


Prediction map
Pear. correl = 0.225
Spear. correl = 0.105
RMSE = 0.234
Likelihood = -0.658

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.518
Spear. correl = 0.264
RMSE = 0.0898
Likelihood = -0.209

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.356
Spear. correl = 0.104
RMSE = 0.0635
Likelihood = -0.136

Metric: CNN


Prediction map
Pear. correl = 0.294
Spear. correl = 0.0728
RMSE = 0.0579
Likelihood = -0.122

Szene-02: lev=2 ppd=60

Observer marking

Cross-validation fold: 4
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.305
Spear. correl = 0.3
RMSE = 0.202
Likelihood = -0.739

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.0442
Spear. correl = 0.0637
RMSE = 0.252
Likelihood = -0.884

Metric: T-sCIELab


Prediction map
Pear. correl = -0.112
Spear. correl = 0.0523
RMSE = 0.167
Likelihood = -0.736

Metric: T-SSIM


Prediction map
Pear. correl = 0.316
Spear. correl = 0.365
RMSE = 0.219
Likelihood = -0.783

Metric: T-FSIM


Prediction map
Pear. correl = 0.627
Spear. correl = 0.632
RMSE = 0.169
Likelihood = -0.543

Metric: T-VSI


Prediction map
Pear. correl = 0.626
Spear. correl = 0.645
RMSE = 0.21
Likelihood = -0.62

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.857
Spear. correl = 0.872
RMSE = 0.0769
Likelihood = -0.308

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.816
Spear. correl = 0.85
RMSE = 0.0876
Likelihood = -0.316

Metric: CNN


Prediction map
Pear. correl = 0.7
Spear. correl = 0.751
RMSE = 0.121
Likelihood = -0.5

Szene-02: lev=3 ppd=60

Observer marking

Cross-validation fold: 4
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.309
Spear. correl = 0.265
RMSE = 0.255
Likelihood = -0.981

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0695
Spear. correl = 0.168
RMSE = 0.309
Likelihood = -1.12

Metric: T-sCIELab


Prediction map
Pear. correl = -0.129
Spear. correl = 0.0746
RMSE = 0.332
Likelihood = -1.14

Metric: T-SSIM


Prediction map
Pear. correl = 0.286
Spear. correl = 0.234
RMSE = 0.303
Likelihood = -1.14

Metric: T-FSIM


Prediction map
Pear. correl = 0.709
Spear. correl = 0.704
RMSE = 0.187
Likelihood = -0.783

Metric: T-VSI


Prediction map
Pear. correl = 0.713
Spear. correl = 0.716
RMSE = 0.199
Likelihood = -0.729

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.916
Spear. correl = 0.9
RMSE = 0.121
Likelihood = -0.607

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.875
Spear. correl = 0.866
RMSE = 0.156
Likelihood = -0.725

Metric: CNN


Prediction map
Pear. correl = 0.626
Spear. correl = 0.655
RMSE = 0.236
Likelihood = -0.983

Text3-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.428
Spear. correl = 0.45
RMSE = 0.208
Likelihood = -1.28

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.399
Spear. correl = 0.454
RMSE = 0.206
Likelihood = -1.34

Metric: T-sCIELab


Prediction map
Pear. correl = 0.359
Spear. correl = 0.429
RMSE = 0.203
Likelihood = -1.33

Metric: T-SSIM


Prediction map
Pear. correl = 0.468
Spear. correl = 0.522
RMSE = 0.245
Likelihood = -1.31

Metric: T-FSIM


Prediction map
Pear. correl = 0.253
Spear. correl = 0.4
RMSE = 0.285
Likelihood = -1.27

Metric: T-VSI


Prediction map
Pear. correl = 0.218
Spear. correl = 0.34
RMSE = 0.299
Likelihood = -1.2

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.554
Spear. correl = 0.543
RMSE = 0.136
Likelihood = -0.751

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.626
Spear. correl = 0.645
RMSE = 0.164
Likelihood = -1.02

Metric: CNN


Prediction map
Pear. correl = 0.579
Spear. correl = 0.61
RMSE = 0.139
Likelihood = -0.681

Text3-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.449
Spear. correl = 0.448
RMSE = 0.489
Likelihood = -1.68

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.493
Spear. correl = 0.485
RMSE = 0.521
Likelihood = -1.82

Metric: T-sCIELab


Prediction map
Pear. correl = 0.46
Spear. correl = 0.54
RMSE = 0.478
Likelihood = -1.72

Metric: T-SSIM


Prediction map
Pear. correl = 0.615
Spear. correl = 0.64
RMSE = 0.399
Likelihood = -1.42

Metric: T-FSIM


Prediction map
Pear. correl = 0.486
Spear. correl = 0.501
RMSE = 0.376
Likelihood = -1.39

Metric: T-VSI


Prediction map
Pear. correl = 0.419
Spear. correl = 0.419
RMSE = 0.384
Likelihood = -1.42

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.703
Spear. correl = 0.7
RMSE = 0.23
Likelihood = -1.12

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.795
Spear. correl = 0.78
RMSE = 0.217
Likelihood = -1.15

Metric: CNN


Prediction map
Pear. correl = 0.752
Spear. correl = 0.759
RMSE = 0.201
Likelihood = -0.889

Text3-02: lev=1 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.169
Spear. correl = 0.156
RMSE = 0.253
Likelihood = -1.42

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0532
Spear. correl = 0.107
RMSE = 0.298
Likelihood = -1.58

Metric: T-sCIELab


Prediction map
Pear. correl = 0.0629
Spear. correl = 0.131
RMSE = 0.223
Likelihood = -1.25

Metric: T-SSIM


Prediction map
Pear. correl = 0.109
Spear. correl = -0.000401
RMSE = 0.314
Likelihood = -1.37

Metric: T-FSIM


Prediction map
Pear. correl = 0.239
Spear. correl = 0.302
RMSE = 0.218
Likelihood = -0.9

Metric: T-VSI


Prediction map
Pear. correl = 0.168
Spear. correl = 0.183
RMSE = 0.242
Likelihood = -0.939

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.481
Spear. correl = 0.414
RMSE = 0.162
Likelihood = -0.751

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.248
Spear. correl = 0.25
RMSE = 0.186
Likelihood = -0.693

Metric: CNN


Prediction map
Pear. correl = 0.512
Spear. correl = 0.291
RMSE = 0.154
Likelihood = -0.627

Text3-02: lev=2 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.337
Spear. correl = 0.312
RMSE = 0.517
Likelihood = -1.64

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.394
Spear. correl = 0.342
RMSE = 0.526
Likelihood = -1.73

Metric: T-sCIELab


Prediction map
Pear. correl = 0.396
Spear. correl = 0.571
RMSE = 0.504
Likelihood = -1.8

Metric: T-SSIM


Prediction map
Pear. correl = 0.662
Spear. correl = 0.703
RMSE = 0.361
Likelihood = -1.35

Metric: T-FSIM


Prediction map
Pear. correl = 0.394
Spear. correl = 0.437
RMSE = 0.408
Likelihood = -1.49

Metric: T-VSI


Prediction map
Pear. correl = 0.47
Spear. correl = 0.497
RMSE = 0.369
Likelihood = -1.39

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.686
Spear. correl = 0.656
RMSE = 0.292
Likelihood = -1.57

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.823
Spear. correl = 0.716
RMSE = 0.272
Likelihood = -1.54

Metric: CNN


Prediction map
Pear. correl = 0.829
Spear. correl = 0.797
RMSE = 0.179
Likelihood = -0.742

Text3-02: lev=3 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.361
Spear. correl = 0.321
RMSE = 0.556
Likelihood = -1.71

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.418
Spear. correl = 0.349
RMSE = 0.569
Likelihood = -1.76

Metric: T-sCIELab


Prediction map
Pear. correl = 0.426
Spear. correl = 0.583
RMSE = 0.54
Likelihood = -1.83

Metric: T-SSIM


Prediction map
Pear. correl = 0.7
Spear. correl = 0.717
RMSE = 0.39
Likelihood = -1.34

Metric: T-FSIM


Prediction map
Pear. correl = 0.465
Spear. correl = 0.486
RMSE = 0.418
Likelihood = -1.61

Metric: T-VSI


Prediction map
Pear. correl = 0.529
Spear. correl = 0.539
RMSE = 0.387
Likelihood = -1.54

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.757
Spear. correl = 0.721
RMSE = 0.272
Likelihood = -1.47

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.831
Spear. correl = 0.756
RMSE = 0.254
Likelihood = -1.53

Metric: CNN


Prediction map
Pear. correl = 0.829
Spear. correl = 0.817
RMSE = 0.19
Likelihood = -0.834

Tools-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.292
Spear. correl = 0.309
RMSE = 0.161
Likelihood = -0.685

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.217
Spear. correl = 0.253
RMSE = 0.214
Likelihood = -0.974

Metric: T-sCIELab


Prediction map
Pear. correl = -0.0888
Spear. correl = -0.205
RMSE = 0.113
Likelihood = -0.386

Metric: T-SSIM


Prediction map
Pear. correl = -0.352
Spear. correl = -0.427
RMSE = 0.154
Likelihood = -0.522

Metric: T-FSIM


Prediction map
Pear. correl = 0.0793
Spear. correl = 0.0165
RMSE = 0.0957
Likelihood = -0.311

Metric: T-VSI


Prediction map
Pear. correl = -0.053
Spear. correl = -0.121
RMSE = 0.184
Likelihood = -0.639

Metric: T-Butteraugli


Prediction map
Pear. correl = -0.2
Spear. correl = -0.24
RMSE = 0.0841
Likelihood = -0.28

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.405
Spear. correl = 0.355
RMSE = 0.0306
Likelihood = -0.0598

Metric: CNN


Prediction map
Pear. correl = 0.388
Spear. correl = 0.362
RMSE = 0.0315
Likelihood = -0.0661

Tools-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.314
Spear. correl = 0.321
RMSE = 0.195
Likelihood = -0.802

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.331
Spear. correl = 0.352
RMSE = 0.249
Likelihood = -1.06

Metric: T-sCIELab


Prediction map
Pear. correl = -0.137
Spear. correl = -0.229
RMSE = 0.0919
Likelihood = -0.317

Metric: T-SSIM


Prediction map
Pear. correl = -0.228
Spear. correl = -0.207
RMSE = 0.169
Likelihood = -0.542

Metric: T-FSIM


Prediction map
Pear. correl = 0.087
Spear. correl = 0.0699
RMSE = 0.156
Likelihood = -0.512

Metric: T-VSI


Prediction map
Pear. correl = -0.0341
Spear. correl = -0.0793
RMSE = 0.261
Likelihood = -0.837

Metric: T-Butteraugli


Prediction map
Pear. correl = -0.0739
Spear. correl = -0.096
RMSE = 0.115
Likelihood = -0.431

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.319
Spear. correl = 0.266
RMSE = 0.0513
Likelihood = -0.165

Metric: CNN


Prediction map
Pear. correl = 0.313
Spear. correl = 0.298
RMSE = 0.0427
Likelihood = -0.209

Tools-01: lev=3 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.179
Spear. correl = 0.156
RMSE = 0.229
Likelihood = -0.783

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.243
Spear. correl = 0.249
RMSE = 0.269
Likelihood = -0.924

Metric: T-sCIELab


Prediction map
Pear. correl = -0.25
Spear. correl = -0.262
RMSE = 0.162
Likelihood = -0.599

Metric: T-SSIM


Prediction map
Pear. correl = -0.201
Spear. correl = -0.201
RMSE = 0.262
Likelihood = -0.901

Metric: T-FSIM


Prediction map
Pear. correl = 0.235
Spear. correl = 0.226
RMSE = 0.247
Likelihood = -0.773

Metric: T-VSI


Prediction map
Pear. correl = 0.19
Spear. correl = 0.173
RMSE = 0.331
Likelihood = -0.94

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.528
Spear. correl = 0.449
RMSE = 0.15
Likelihood = -0.536

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.672
Spear. correl = 0.637
RMSE = 0.0747
Likelihood = -0.283

Metric: CNN


Prediction map
Pear. correl = 0.573
Spear. correl = 0.604
RMSE = 0.0636
Likelihood = -0.292

Tools-02: lev=1 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0773
Spear. correl = -0.0936
RMSE = 0.397
Likelihood = -1.5

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.249
Spear. correl = -0.168
RMSE = 0.43
Likelihood = -1.54

Metric: T-sCIELab


Prediction map
Pear. correl = -0.177
Spear. correl = -0.209
RMSE = 0.332
Likelihood = -0.975

Metric: T-SSIM


Prediction map
Pear. correl = -0.128
Spear. correl = -0.158
RMSE = 0.406
Likelihood = -1.5

Metric: T-FSIM


Prediction map
Pear. correl = 0.176
Spear. correl = 0.136
RMSE = 0.301
Likelihood = -0.87

Metric: T-VSI


Prediction map
Pear. correl = 0.135
Spear. correl = 0.101
RMSE = 0.34
Likelihood = -1.16

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.399
Spear. correl = 0.36
RMSE = 0.15
Likelihood = -0.517

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.34
Spear. correl = 0.32
RMSE = 0.119
Likelihood = -0.453

Metric: CNN


Prediction map
Pear. correl = 0.294
Spear. correl = 0.207
RMSE = 0.0664
Likelihood = -0.219

Tools-02: lev=2 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.182
Spear. correl = -0.237
RMSE = 0.393
Likelihood = -1.24

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.34
Spear. correl = -0.341
RMSE = 0.428
Likelihood = -1.32

Metric: T-sCIELab


Prediction map
Pear. correl = -0.335
Spear. correl = -0.371
RMSE = 0.42
Likelihood = -1.16

Metric: T-SSIM


Prediction map
Pear. correl = -0.274
Spear. correl = -0.346
RMSE = 0.455
Likelihood = -1.33

Metric: T-FSIM


Prediction map
Pear. correl = 0.278
Spear. correl = 0.286
RMSE = 0.311
Likelihood = -0.925

Metric: T-VSI


Prediction map
Pear. correl = 0.219
Spear. correl = 0.231
RMSE = 0.353
Likelihood = -1.11

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.577
Spear. correl = 0.596
RMSE = 0.15
Likelihood = -0.563

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.342
Spear. correl = 0.321
RMSE = 0.159
Likelihood = -0.659

Metric: CNN


Prediction map
Pear. correl = 0.433
Spear. correl = 0.426
RMSE = 0.121
Likelihood = -0.533

Tools-02: lev=3 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.352
Spear. correl = -0.44
RMSE = 0.41
Likelihood = -1.19

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.443
Spear. correl = -0.47
RMSE = 0.437
Likelihood = -1.24

Metric: T-sCIELab


Prediction map
Pear. correl = -0.547
Spear. correl = -0.562
RMSE = 0.509
Likelihood = -1.41

Metric: T-SSIM


Prediction map
Pear. correl = -0.444
Spear. correl = -0.558
RMSE = 0.499
Likelihood = -1.26

Metric: T-FSIM


Prediction map
Pear. correl = 0.242
Spear. correl = 0.226
RMSE = 0.338
Likelihood = -1.04

Metric: T-VSI


Prediction map
Pear. correl = 0.147
Spear. correl = 0.124
RMSE = 0.379
Likelihood = -1.14

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.606
Spear. correl = 0.618
RMSE = 0.189
Likelihood = -0.782

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.138
Spear. correl = -0.182
RMSE = 0.286
Likelihood = -1.03

Metric: CNN


Prediction map
Pear. correl = 0.625
Spear. correl = 0.646
RMSE = 0.172
Likelihood = -0.779

Tools-03: lev=1 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.032
Spear. correl = 0.0375
RMSE = 0.318
Likelihood = -1.32

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.295
Spear. correl = 0.242
RMSE = 0.383
Likelihood = -1.45

Metric: T-sCIELab


Prediction map
Pear. correl = -0.13
Spear. correl = -0.0463
RMSE = 0.217
Likelihood = -0.743

Metric: T-SSIM


Prediction map
Pear. correl = -0.132
Spear. correl = -0.0125
RMSE = 0.291
Likelihood = -1.24

Metric: T-FSIM


Prediction map
Pear. correl = 0.355
Spear. correl = 0.209
RMSE = 0.267
Likelihood = -0.813

Metric: T-VSI


Prediction map
Pear. correl = 0.344
Spear. correl = 0.204
RMSE = 0.293
Likelihood = -0.996

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.72
Spear. correl = 0.297
RMSE = 0.13
Likelihood = -0.497

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.731
Spear. correl = 0.446
RMSE = 0.0856
Likelihood = -0.301

Metric: CNN


Prediction map
Pear. correl = 0.725
Spear. correl = 0.43
RMSE = 0.0921
Likelihood = -0.344

Tools-03: lev=2 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.138
Spear. correl = -0.106
RMSE = 0.345
Likelihood = -1.28

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.157
Spear. correl = 0.151
RMSE = 0.393
Likelihood = -1.32

Metric: T-sCIELab


Prediction map
Pear. correl = -0.236
Spear. correl = -0.259
RMSE = 0.274
Likelihood = -0.917

Metric: T-SSIM


Prediction map
Pear. correl = -0.25
Spear. correl = -0.173
RMSE = 0.365
Likelihood = -1.33

Metric: T-FSIM


Prediction map
Pear. correl = 0.297
Spear. correl = 0.202
RMSE = 0.32
Likelihood = -0.951

Metric: T-VSI


Prediction map
Pear. correl = 0.263
Spear. correl = 0.173
RMSE = 0.348
Likelihood = -1.09

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.713
Spear. correl = 0.429
RMSE = 0.16
Likelihood = -0.626

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.549
Spear. correl = 0.416
RMSE = 0.139
Likelihood = -0.58

Metric: CNN


Prediction map
Pear. correl = 0.583
Spear. correl = 0.405
RMSE = 0.139
Likelihood = -0.588

Tools-03: lev=3 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.112
Spear. correl = -0.0975
RMSE = 0.265
Likelihood = -0.903

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.00456
Spear. correl = -0.0141
RMSE = 0.291
Likelihood = -0.871

Metric: T-sCIELab


Prediction map
Pear. correl = -0.226
Spear. correl = -0.227
RMSE = 0.302
Likelihood = -1.1

Metric: T-SSIM


Prediction map
Pear. correl = -0.228
Spear. correl = -0.199
RMSE = 0.338
Likelihood = -1.04

Metric: T-FSIM


Prediction map
Pear. correl = 0.247
Spear. correl = 0.247
RMSE = 0.285
Likelihood = -0.977

Metric: T-VSI


Prediction map
Pear. correl = 0.193
Spear. correl = 0.196
RMSE = 0.294
Likelihood = -0.886

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.64
Spear. correl = 0.656
RMSE = 0.129
Likelihood = -0.586

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.362
Spear. correl = 0.426
RMSE = 0.156
Likelihood = -0.719

Metric: CNN


Prediction map
Pear. correl = 0.273
Spear. correl = 0.314
RMSE = 0.16
Likelihood = -0.715

bikes-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0671
Spear. correl = 0.0594
RMSE = 0.16
Likelihood = -0.653

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.0433
Spear. correl = -0.0302
RMSE = 0.147
Likelihood = -0.654

Metric: T-sCIELab


Prediction map
Pear. correl = -0.239
Spear. correl = -0.237
RMSE = 0.167
Likelihood = -0.79

Metric: T-SSIM


Prediction map
Pear. correl = -0.147
Spear. correl = -0.116
RMSE = 0.155
Likelihood = -0.802

Metric: T-FSIM


Prediction map
Pear. correl = 0.0592
Spear. correl = 0.0328
RMSE = 0.162
Likelihood = -0.909

Metric: T-VSI


Prediction map
Pear. correl = -0.00766
Spear. correl = -0.0412
RMSE = 0.191
Likelihood = -0.924

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.258
Spear. correl = 0.226
RMSE = 0.113
Likelihood = -0.572

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.313
Spear. correl = 0.304
RMSE = 0.15
Likelihood = -0.886

Metric: CNN


Prediction map
Pear. correl = 0.358
Spear. correl = 0.406
RMSE = 0.118
Likelihood = -0.6

bikes-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0985
Spear. correl = 0.09
RMSE = 0.283
Likelihood = -1.24

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.00485
Spear. correl = 0.0205
RMSE = 0.369
Likelihood = -1.52

Metric: T-sCIELab


Prediction map
Pear. correl = -0.22
Spear. correl = -0.202
RMSE = 0.417
Likelihood = -1.63

Metric: T-SSIM


Prediction map
Pear. correl = -0.0515
Spear. correl = -0.0339
RMSE = 0.322
Likelihood = -1.26

Metric: T-FSIM


Prediction map
Pear. correl = 0.0759
Spear. correl = 0.0668
RMSE = 0.355
Likelihood = -1.44

Metric: T-VSI


Prediction map
Pear. correl = -0.00418
Spear. correl = -0.0156
RMSE = 0.372
Likelihood = -1.47

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.251
Spear. correl = 0.215
RMSE = 0.294
Likelihood = -1.36

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.318
Spear. correl = 0.301
RMSE = 0.378
Likelihood = -1.7

Metric: CNN


Prediction map
Pear. correl = 0.4
Spear. correl = 0.367
RMSE = 0.251
Likelihood = -1.24

bikes-01: lev=3 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0885
Spear. correl = 0.0795
RMSE = 0.469
Likelihood = -1.69

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0307
Spear. correl = 0.039
RMSE = 0.589
Likelihood = -1.89

Metric: T-sCIELab


Prediction map
Pear. correl = -0.106
Spear. correl = -0.118
RMSE = 0.542
Likelihood = -1.8

Metric: T-SSIM


Prediction map
Pear. correl = 0.0165
Spear. correl = -0.0054
RMSE = 0.38
Likelihood = -1.24

Metric: T-FSIM


Prediction map
Pear. correl = 0.0719
Spear. correl = 0.0512
RMSE = 0.302
Likelihood = -1.2

Metric: T-VSI


Prediction map
Pear. correl = 0.00938
Spear. correl = 0.00148
RMSE = 0.388
Likelihood = -1.44

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.102
Spear. correl = -0.0642
RMSE = 0.219
Likelihood = -1.21

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.246
Spear. correl = 0.158
RMSE = 0.153
Likelihood = -1.06

Metric: CNN


Prediction map
Pear. correl = 0.0347
Spear. correl = 0.00544
RMSE = 0.112
Likelihood = -0.69

bridge-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.268
Spear. correl = 0.229
RMSE = 0.321
Likelihood = -1.02

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.126
Spear. correl = 0.167
RMSE = 0.272
Likelihood = -0.838

Metric: T-sCIELab


Prediction map
Pear. correl = -0.153
Spear. correl = -0.0922
RMSE = 0.274
Likelihood = -0.913

Metric: T-SSIM


Prediction map
Pear. correl = 0.0542
Spear. correl = -0.0178
RMSE = 0.382
Likelihood = -1.19

Metric: T-FSIM


Prediction map
Pear. correl = 0.0332
Spear. correl = 0.0468
RMSE = 0.276
Likelihood = -0.892

Metric: T-VSI


Prediction map
Pear. correl = 0.0543
Spear. correl = 0.0651
RMSE = 0.275
Likelihood = -0.919

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.304
Spear. correl = 0.278
RMSE = 0.165
Likelihood = -0.658

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.367
Spear. correl = 0.354
RMSE = 0.117
Likelihood = -0.493

Metric: CNN


Prediction map
Pear. correl = 0.737
Spear. correl = 0.656
RMSE = 0.13
Likelihood = -0.482

bridge-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.507
Spear. correl = 0.449
RMSE = 0.234
Likelihood = -0.981

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.348
Spear. correl = 0.371
RMSE = 0.279
Likelihood = -1.29

Metric: T-sCIELab


Prediction map
Pear. correl = 0.116
Spear. correl = 0.164
RMSE = 0.309
Likelihood = -1.26

Metric: T-SSIM


Prediction map
Pear. correl = 0.397
Spear. correl = 0.287
RMSE = 0.306
Likelihood = -0.966

Metric: T-FSIM


Prediction map
Pear. correl = 0.299
Spear. correl = 0.334
RMSE = 0.298
Likelihood = -1.13

Metric: T-VSI


Prediction map
Pear. correl = 0.343
Spear. correl = 0.357
RMSE = 0.268
Likelihood = -1.02

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.582
Spear. correl = 0.554
RMSE = 0.192
Likelihood = -0.829

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.608
Spear. correl = 0.59
RMSE = 0.182
Likelihood = -0.887

Metric: CNN


Prediction map
Pear. correl = 0.668
Spear. correl = 0.668
RMSE = 0.225
Likelihood = -0.739

bridge-01: lev=3 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.641
Spear. correl = 0.515
RMSE = 0.333
Likelihood = -1.44

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.529
Spear. correl = 0.475
RMSE = 0.445
Likelihood = -1.71

Metric: T-sCIELab


Prediction map
Pear. correl = 0.498
Spear. correl = 0.35
RMSE = 0.405
Likelihood = -1.62

Metric: T-SSIM


Prediction map
Pear. correl = 0.672
Spear. correl = 0.395
RMSE = 0.229
Likelihood = -1.01

Metric: T-FSIM


Prediction map
Pear. correl = 0.614
Spear. correl = 0.451
RMSE = 0.275
Likelihood = -1.22

Metric: T-VSI


Prediction map
Pear. correl = 0.66
Spear. correl = 0.471
RMSE = 0.253
Likelihood = -1.19

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.814
Spear. correl = 0.583
RMSE = 0.158
Likelihood = -0.824

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.868
Spear. correl = 0.684
RMSE = 0.115
Likelihood = -0.732

Metric: CNN


Prediction map
Pear. correl = 0.821
Spear. correl = 0.479
RMSE = 0.15
Likelihood = -0.638

city-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.103
Spear. correl = 0.298
RMSE = 0.291
Likelihood = -0.967

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0735
Spear. correl = 0.283
RMSE = 0.215
Likelihood = -0.739

Metric: T-sCIELab


Prediction map
Pear. correl = 0.00866
Spear. correl = 0.322
RMSE = 0.231
Likelihood = -0.665

Metric: T-SSIM


Prediction map
Pear. correl = 0.0643
Spear. correl = 0.279
RMSE = 0.343
Likelihood = -1.17

Metric: T-FSIM


Prediction map
Pear. correl = 0.176
Spear. correl = 0.377
RMSE = 0.246
Likelihood = -0.806

Metric: T-VSI


Prediction map
Pear. correl = 0.198
Spear. correl = 0.298
RMSE = 0.202
Likelihood = -0.675

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.26
Spear. correl = 0.463
RMSE = 0.151
Likelihood = -0.537

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.0574
Spear. correl = 0.274
RMSE = 0.164
Likelihood = -0.523

Metric: CNN


Prediction map
Pear. correl = 0.492
Spear. correl = 0.635
RMSE = 0.112
Likelihood = -0.372

city-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.857
Spear. correl = 0.741
RMSE = 0.263
Likelihood = -1.12

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.791
Spear. correl = 0.76
RMSE = 0.382
Likelihood = -1.41

Metric: T-sCIELab


Prediction map
Pear. correl = 0.772
Spear. correl = 0.807
RMSE = 0.367
Likelihood = -1.33

Metric: T-SSIM


Prediction map
Pear. correl = 0.909
Spear. correl = 0.776
RMSE = 0.194
Likelihood = -0.804

Metric: T-FSIM


Prediction map
Pear. correl = 0.899
Spear. correl = 0.773
RMSE = 0.183
Likelihood = -0.785

Metric: T-VSI


Prediction map
Pear. correl = 0.826
Spear. correl = 0.762
RMSE = 0.254
Likelihood = -0.989

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.938
Spear. correl = 0.791
RMSE = 0.147
Likelihood = -0.574

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.923
Spear. correl = 0.807
RMSE = 0.16
Likelihood = -0.512

Metric: CNN


Prediction map
Pear. correl = 0.954
Spear. correl = 0.709
RMSE = 0.12
Likelihood = -0.489

gorilla-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.478
Spear. correl = -0.467
RMSE = 0.364
Likelihood = -1.34

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.435
Spear. correl = -0.441
RMSE = 0.247
Likelihood = -1.07

Metric: T-sCIELab


Prediction map
Pear. correl = 0.0467
Spear. correl = -0.0102
RMSE = 0.206
Likelihood = -0.807

Metric: T-SSIM


Prediction map
Pear. correl = -0.551
Spear. correl = -0.512
RMSE = 0.47
Likelihood = -1.5

Metric: T-FSIM


Prediction map
Pear. correl = 0.00673
Spear. correl = 0.0207
RMSE = 0.353
Likelihood = -1.13

Metric: T-VSI


Prediction map
Pear. correl = 0.176
Spear. correl = 0.223
RMSE = 0.291
Likelihood = -0.943

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.391
Spear. correl = 0.462
RMSE = 0.198
Likelihood = -0.812

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.0862
Spear. correl = 0.174
RMSE = 0.223
Likelihood = -0.945

Metric: CNN


Prediction map
Pear. correl = 0.737
Spear. correl = 0.719
RMSE = 0.158
Likelihood = -0.629

gorilla-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.361
Spear. correl = 0.161
RMSE = 0.289
Likelihood = -1.24

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.242
Spear. correl = 0.137
RMSE = 0.431
Likelihood = -1.69

Metric: T-sCIELab


Prediction map
Pear. correl = 0.191
Spear. correl = 0.0995
RMSE = 0.441
Likelihood = -1.68

Metric: T-SSIM


Prediction map
Pear. correl = 0.425
Spear. correl = 0.0853
RMSE = 0.296
Likelihood = -0.982

Metric: T-FSIM


Prediction map
Pear. correl = 0.533
Spear. correl = 0.278
RMSE = 0.227
Likelihood = -0.827

Metric: T-VSI


Prediction map
Pear. correl = 0.391
Spear. correl = 0.275
RMSE = 0.241
Likelihood = -0.998

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.565
Spear. correl = 0.172
RMSE = 0.185
Likelihood = -0.784

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.629
Spear. correl = 0.262
RMSE = 0.2
Likelihood = -0.702

Metric: CNN


Prediction map
Pear. correl = 0.522
Spear. correl = 0.223
RMSE = 0.179
Likelihood = -0.682

lamps-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 4
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.00848
Spear. correl = -0.0171
RMSE = 0.213
Likelihood = -1.11

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.0109
Spear. correl = 0.0216
RMSE = 0.25
Likelihood = -1.39

Metric: T-sCIELab


Prediction map
Pear. correl = -0.088
Spear. correl = -0.115
RMSE = 0.252
Likelihood = -1.14

Metric: T-SSIM


Prediction map
Pear. correl = -0.0882
Spear. correl = -0.0588
RMSE = 0.244
Likelihood = -1.27

Metric: T-FSIM


Prediction map
Pear. correl = 0.103
Spear. correl = 0.103
RMSE = 0.232
Likelihood = -1.17

Metric: T-VSI


Prediction map
Pear. correl = 0.112
Spear. correl = 0.119
RMSE = 0.231
Likelihood = -1.11

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.487
Spear. correl = 0.446
RMSE = 0.179
Likelihood = -0.997

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.206
Spear. correl = 0.172
RMSE = 0.261
Likelihood = -1.51

Metric: CNN


Prediction map
Pear. correl = 0.505
Spear. correl = 0.516
RMSE = 0.161
Likelihood = -0.895

lamps-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 4
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0696
Spear. correl = 0.116
RMSE = 0.364
Likelihood = -1.44

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0694
Spear. correl = 0.192
RMSE = 0.422
Likelihood = -1.65

Metric: T-sCIELab


Prediction map
Pear. correl = -0.0329
Spear. correl = -0.00509
RMSE = 0.379
Likelihood = -1.41

Metric: T-SSIM


Prediction map
Pear. correl = 0.0422
Spear. correl = 0.113
RMSE = 0.373
Likelihood = -1.46

Metric: T-FSIM


Prediction map
Pear. correl = 0.12
Spear. correl = 0.151
RMSE = 0.348
Likelihood = -1.38

Metric: T-VSI


Prediction map
Pear. correl = 0.142
Spear. correl = 0.165
RMSE = 0.333
Likelihood = -1.31

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.354
Spear. correl = 0.353
RMSE = 0.28
Likelihood = -1.27

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.149
Spear. correl = 0.242
RMSE = 0.346
Likelihood = -1.45

Metric: CNN


Prediction map
Pear. correl = 0.604
Spear. correl = 0.544
RMSE = 0.201
Likelihood = -0.945

lamps-01: lev=3 ppd=60

Observer marking

Cross-validation fold: 4
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.404
Spear. correl = 0.454
RMSE = 0.514
Likelihood = -1.79

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.415
Spear. correl = 0.541
RMSE = 0.596
Likelihood = -1.91

Metric: T-sCIELab


Prediction map
Pear. correl = 0.377
Spear. correl = 0.37
RMSE = 0.455
Likelihood = -1.58

Metric: T-SSIM


Prediction map
Pear. correl = 0.447
Spear. correl = 0.47
RMSE = 0.472
Likelihood = -1.58

Metric: T-FSIM


Prediction map
Pear. correl = 0.42
Spear. correl = 0.41
RMSE = 0.403
Likelihood = -1.47

Metric: T-VSI


Prediction map
Pear. correl = 0.423
Spear. correl = 0.393
RMSE = 0.38
Likelihood = -1.38

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.646
Spear. correl = 0.609
RMSE = 0.319
Likelihood = -1.41

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.474
Spear. correl = 0.447
RMSE = 0.278
Likelihood = -1.25

Metric: CNN


Prediction map
Pear. correl = 0.662
Spear. correl = 0.624
RMSE = 0.2
Likelihood = -0.9

red-bridge-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 5
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.17
Spear. correl = 0.174
RMSE = 0.133
Likelihood = -0.509

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.216
Spear. correl = 0.229
RMSE = 0.0986
Likelihood = -0.284

Metric: T-sCIELab


Prediction map
Pear. correl = -0.21
Spear. correl = -0.242
RMSE = 0.16
Likelihood = -0.536

Metric: T-SSIM


Prediction map
Pear. correl = -0.0796
Spear. correl = -0.0405
RMSE = 0.0579
Likelihood = -0.146

Metric: T-FSIM


Prediction map
Pear. correl = 0.0731
Spear. correl = 0.0916
RMSE = 0.129
Likelihood = -0.369

Metric: T-VSI


Prediction map
Pear. correl = 0.0233
Spear. correl = 0.0582
RMSE = 0.135
Likelihood = -0.369

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.262
Spear. correl = 0.299
RMSE = 0.0736
Likelihood = -0.199

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.389
Spear. correl = 0.412
RMSE = 0.0379
Likelihood = -0.019

Metric: CNN


Prediction map
Pear. correl = 0.346
Spear. correl = 0.257
RMSE = 0.0396
Likelihood = -0.0657

red-bridge-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 5
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.38
Spear. correl = 0.406
RMSE = 0.176
Likelihood = -0.79

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.337
Spear. correl = 0.415
RMSE = 0.192
Likelihood = -0.816

Metric: T-sCIELab


Prediction map
Pear. correl = -0.192
Spear. correl = -0.247
RMSE = 0.241
Likelihood = -1.08

Metric: T-SSIM


Prediction map
Pear. correl = 0.141
Spear. correl = 0.23
RMSE = 0.211
Likelihood = -0.89

Metric: T-FSIM


Prediction map
Pear. correl = 0.216
Spear. correl = 0.215
RMSE = 0.211
Likelihood = -0.935

Metric: T-VSI


Prediction map
Pear. correl = 0.152
Spear. correl = 0.182
RMSE = 0.223
Likelihood = -0.956

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.62
Spear. correl = 0.608
RMSE = 0.171
Likelihood = -0.832

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.782
Spear. correl = 0.764
RMSE = 0.207
Likelihood = -0.887

Metric: CNN


Prediction map
Pear. correl = 0.444
Spear. correl = 0.377
RMSE = 0.212
Likelihood = -0.891

red-bridge-01: lev=3 ppd=60

Observer marking

Cross-validation fold: 5
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.351
Spear. correl = 0.34
RMSE = 0.434
Likelihood = -1.68

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.26
Spear. correl = 0.315
RMSE = 0.517
Likelihood = -1.81

Metric: T-sCIELab


Prediction map
Pear. correl = -0.0573
Spear. correl = -0.0646
RMSE = 0.473
Likelihood = -1.55

Metric: T-SSIM


Prediction map
Pear. correl = 0.226
Spear. correl = 0.225
RMSE = 0.418
Likelihood = -1.56

Metric: T-FSIM


Prediction map
Pear. correl = 0.424
Spear. correl = 0.432
RMSE = 0.358
Likelihood = -1.48

Metric: T-VSI


Prediction map
Pear. correl = 0.397
Spear. correl = 0.407
RMSE = 0.356
Likelihood = -1.46

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.604
Spear. correl = 0.612
RMSE = 0.292
Likelihood = -1.43

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.784
Spear. correl = 0.798
RMSE = 0.33
Likelihood = -1.6

Metric: CNN


Prediction map
Pear. correl = 0.759
Spear. correl = 0.764
RMSE = 0.193
Likelihood = -1.03

roofs-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 1
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.125
Spear. correl = -0.113
RMSE = 0.204
Likelihood = -0.893

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.438
Spear. correl = -0.496
RMSE = 0.177
Likelihood = -0.857

Metric: T-sCIELab


Prediction map
Pear. correl = -0.116
Spear. correl = -0.0899
RMSE = 0.187
Likelihood = -0.711

Metric: T-SSIM


Prediction map
Pear. correl = -0.133
Spear. correl = -0.049
RMSE = 0.149
Likelihood = -0.743

Metric: T-FSIM


Prediction map
Pear. correl = 0.0896
Spear. correl = 0.0215
RMSE = 0.165
Likelihood = -0.766

Metric: T-VSI


Prediction map
Pear. correl = -0.00447
Spear. correl = -0.0692
RMSE = 0.186
Likelihood = -0.793

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.637
Spear. correl = 0.699
RMSE = 0.0771
Likelihood = -0.335

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.149
Spear. correl = 0.235
RMSE = 0.11
Likelihood = -0.633

Metric: CNN


Prediction map
Pear. correl = 0.692
Spear. correl = 0.712
RMSE = 0.072
Likelihood = -0.348

roofs-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 1
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0263
Spear. correl = -0.0628
RMSE = 0.268
Likelihood = -1.08

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.307
Spear. correl = -0.331
RMSE = 0.285
Likelihood = -1.18

Metric: T-sCIELab


Prediction map
Pear. correl = -0.205
Spear. correl = -0.191
RMSE = 0.304
Likelihood = -1.2

Metric: T-SSIM


Prediction map
Pear. correl = -0.0804
Spear. correl = -0.0613
RMSE = 0.294
Likelihood = -1.09

Metric: T-FSIM


Prediction map
Pear. correl = 0.0107
Spear. correl = -0.00252
RMSE = 0.31
Likelihood = -1.17

Metric: T-VSI


Prediction map
Pear. correl = -0.0634
Spear. correl = -0.0694
RMSE = 0.322
Likelihood = -1.18

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.426
Spear. correl = 0.487
RMSE = 0.216
Likelihood = -1.01

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.045
Spear. correl = -0.0134
RMSE = 0.266
Likelihood = -1.12

Metric: CNN


Prediction map
Pear. correl = 0.815
Spear. correl = 0.806
RMSE = 0.125
Likelihood = -0.643

roofs-01: lev=3 ppd=60

Observer marking

Cross-validation fold: 1
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.191
Spear. correl = 0.0897
RMSE = 0.3
Likelihood = -1.25

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.0131
Spear. correl = -0.0693
RMSE = 0.421
Likelihood = -1.59

Metric: T-sCIELab


Prediction map
Pear. correl = -0.184
Spear. correl = -0.179
RMSE = 0.413
Likelihood = -1.56

Metric: T-SSIM


Prediction map
Pear. correl = 0.12
Spear. correl = -0.0272
RMSE = 0.306
Likelihood = -1.05

Metric: T-FSIM


Prediction map
Pear. correl = 0.105
Spear. correl = 0.0555
RMSE = 0.315
Likelihood = -1.22

Metric: T-VSI


Prediction map
Pear. correl = 0.0574
Spear. correl = -0.00127
RMSE = 0.31
Likelihood = -1.2

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.457
Spear. correl = 0.435
RMSE = 0.274
Likelihood = -1.45

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.0339
Spear. correl = -0.128
RMSE = 0.263
Likelihood = -1.22

Metric: CNN


Prediction map
Pear. correl = 0.657
Spear. correl = 0.632
RMSE = 0.141
Likelihood = -0.692

tree-01: lev=1 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.755
Spear. correl = -0.442
RMSE = 0.406
Likelihood = -1.68

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.761
Spear. correl = -0.463
RMSE = 0.258
Likelihood = -1.27

Metric: T-sCIELab


Prediction map
Pear. correl = -0.456
Spear. correl = -0.38
RMSE = 0.267
Likelihood = -1.18

Metric: T-SSIM


Prediction map
Pear. correl = -0.846
Spear. correl = -0.452
RMSE = 0.442
Likelihood = -1.76

Metric: T-FSIM


Prediction map
Pear. correl = -0.0516
Spear. correl = 0.00541
RMSE = 0.335
Likelihood = -1.18

Metric: T-VSI


Prediction map
Pear. correl = -0.0753
Spear. correl = -0.0198
RMSE = 0.328
Likelihood = -1.26

Metric: T-Butteraugli


Prediction map
Pear. correl = -0.271
Spear. correl = -0.0893
RMSE = 0.229
Likelihood = -1.13

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.698
Spear. correl = -0.337
RMSE = 0.232
Likelihood = -1.15

Metric: CNN


Prediction map
Pear. correl = 0.791
Spear. correl = 0.575
RMSE = 0.204
Likelihood = -0.908

tree-01: lev=2 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 20
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.643
Spear. correl = 0.352
RMSE = 0.312
Likelihood = -1.47

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.564
Spear. correl = 0.354
RMSE = 0.49
Likelihood = -1.91

Metric: T-sCIELab


Prediction map
Pear. correl = 0.602
Spear. correl = 0.455
RMSE = 0.432
Likelihood = -1.78

Metric: T-SSIM


Prediction map
Pear. correl = 0.792
Spear. correl = 0.436
RMSE = 0.259
Likelihood = -1.04

Metric: T-FSIM


Prediction map
Pear. correl = 0.595
Spear. correl = 0.253
RMSE = 0.218
Likelihood = -0.932

Metric: T-VSI


Prediction map
Pear. correl = 0.601
Spear. correl = 0.265
RMSE = 0.217
Likelihood = -0.975

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.784
Spear. correl = 0.302
RMSE = 0.196
Likelihood = -0.818

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.819
Spear. correl = 0.285
RMSE = 0.208
Likelihood = -0.782

Metric: CNN


Prediction map
Pear. correl = 0.731
Spear. correl = 0.283
RMSE = 0.0969
Likelihood = -0.599