Dataset: mixed

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


appartment: lev=1 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.105
Spear. correl = 0.0131
RMSE = 0.0397
Likelihood = 0.193

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0916
Spear. correl = 0.0173
RMSE = 0.0284
Likelihood = 0.197

Metric: T-sCIELab


Prediction map
Pear. correl = 0.15
Spear. correl = 0.0177
RMSE = 0.0336
Likelihood = 0.196

Metric: T-SSIM


Prediction map
Pear. correl = 0.202
Spear. correl = 0.0854
RMSE = 0.0243
Likelihood = 0.184

Metric: T-FSIM


Prediction map
Pear. correl = 0.0701
Spear. correl = -0.00886
RMSE = 0.155
Likelihood = 0.175

Metric: T-VSI


Prediction map
Pear. correl = 0.168
Spear. correl = 0.0148
RMSE = 0.043
Likelihood = 0.191

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.208
Spear. correl = 0.00298
RMSE = 0.038
Likelihood = 0.196

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.117
Spear. correl = -0.0128
RMSE = 0.0526
Likelihood = 0.189

Metric: CNN


Prediction map
Pear. correl = 0.199
Spear. correl = 0.187
RMSE = 0.0224
Likelihood = 0.181

appartment: lev=2 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.522
Spear. correl = 0.488
RMSE = 0.07
Likelihood = -0.00553

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.561
Spear. correl = 0.496
RMSE = 0.066
Likelihood = -0.00469

Metric: T-sCIELab


Prediction map
Pear. correl = 0.573
Spear. correl = 0.497
RMSE = 0.0689
Likelihood = 0.00173

Metric: T-SSIM


Prediction map
Pear. correl = 0.472
Spear. correl = 0.478
RMSE = 0.0733
Likelihood = -0.11

Metric: T-FSIM


Prediction map
Pear. correl = 0.411
Spear. correl = 0.363
RMSE = 0.216
Likelihood = -0.0356

Metric: T-VSI


Prediction map
Pear. correl = 0.572
Spear. correl = 0.486
RMSE = 0.0821
Likelihood = -0.0399

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.62
Spear. correl = 0.491
RMSE = 0.0782
Likelihood = 0.0188

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.541
Spear. correl = 0.473
RMSE = 0.133
Likelihood = 0.0286

Metric: CNN


Prediction map
Pear. correl = 0.759
Spear. correl = 0.494
RMSE = 0.0564
Likelihood = -0.1

appartment: lev=3 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.732
Spear. correl = 0.777
RMSE = 0.156
Likelihood = -0.318

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.864
Spear. correl = 0.785
RMSE = 0.158
Likelihood = -0.324

Metric: T-sCIELab


Prediction map
Pear. correl = 0.805
Spear. correl = 0.787
RMSE = 0.131
Likelihood = -0.298

Metric: T-SSIM


Prediction map
Pear. correl = 0.468
Spear. correl = 0.715
RMSE = 0.185
Likelihood = -0.368

Metric: T-FSIM


Prediction map
Pear. correl = 0.694
Spear. correl = 0.552
RMSE = 0.198
Likelihood = -0.225

Metric: T-VSI


Prediction map
Pear. correl = 0.681
Spear. correl = 0.781
RMSE = 0.149
Likelihood = -0.315

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.795
Spear. correl = 0.765
RMSE = 0.119
Likelihood = -0.253

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.794
Spear. correl = 0.735
RMSE = 0.143
Likelihood = -0.187

Metric: CNN


Prediction map
Pear. correl = 0.819
Spear. correl = 0.722
RMSE = 0.119
Likelihood = -0.291

atrium: lev=1 ppd=40

Observer marking

Cross-validation fold: 4
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.102
Spear. correl = 0.0754
RMSE = 0.0269
Likelihood = 0.195

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0867
Spear. correl = 0.0714
RMSE = 0.0225
Likelihood = 0.188

Metric: T-sCIELab


Prediction map
Pear. correl = 0.0751
Spear. correl = 0.0695
RMSE = 0.0251
Likelihood = 0.178

Metric: T-SSIM


Prediction map
Pear. correl = 0.0615
Spear. correl = 0.0554
RMSE = 0.0231
Likelihood = 0.163

Metric: T-FSIM


Prediction map
Pear. correl = 0.0284
Spear. correl = 0.0536
RMSE = 0.0414
Likelihood = 0.195

Metric: T-VSI


Prediction map
Pear. correl = 0.0713
Spear. correl = 0.0741
RMSE = 0.0308
Likelihood = 0.195

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.0898
Spear. correl = 0.0805
RMSE = 0.0289
Likelihood = 0.187

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.0413
Spear. correl = 0.051
RMSE = 0.0532
Likelihood = 0.194

Metric: CNN


Prediction map
Pear. correl = 0.0131
Spear. correl = 0.0994
RMSE = 0.0325
Likelihood = 0.195

atrium: lev=2 ppd=40

Observer marking

Cross-validation fold: 4
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.705
Spear. correl = 0.752
RMSE = 0.0683
Likelihood = -0.288

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.753
Spear. correl = 0.747
RMSE = 0.0759
Likelihood = -0.308

Metric: T-sCIELab


Prediction map
Pear. correl = 0.538
Spear. correl = 0.753
RMSE = 0.0764
Likelihood = -0.335

Metric: T-SSIM


Prediction map
Pear. correl = 0.378
Spear. correl = 0.665
RMSE = 0.0837
Likelihood = -0.385

Metric: T-FSIM


Prediction map
Pear. correl = 0.691
Spear. correl = 0.623
RMSE = 0.067
Likelihood = -0.168

Metric: T-VSI


Prediction map
Pear. correl = 0.709
Spear. correl = 0.76
RMSE = 0.0608
Likelihood = -0.208

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.688
Spear. correl = 0.778
RMSE = 0.0632
Likelihood = -0.253

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.721
Spear. correl = 0.747
RMSE = 0.106
Likelihood = -0.0796

Metric: CNN


Prediction map
Pear. correl = 0.77
Spear. correl = 0.756
RMSE = 0.0534
Likelihood = -0.118

atrium: lev=3 ppd=40

Observer marking

Cross-validation fold: 4
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.716
Spear. correl = 0.859
RMSE = 0.195
Likelihood = -0.577

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.788
Spear. correl = 0.854
RMSE = 0.208
Likelihood = -0.576

Metric: T-sCIELab


Prediction map
Pear. correl = 0.504
Spear. correl = 0.853
RMSE = 0.208
Likelihood = -0.583

Metric: T-SSIM


Prediction map
Pear. correl = 0.352
Spear. correl = 0.781
RMSE = 0.218
Likelihood = -0.59

Metric: T-FSIM


Prediction map
Pear. correl = 0.748
Spear. correl = 0.683
RMSE = 0.14
Likelihood = -0.474

Metric: T-VSI


Prediction map
Pear. correl = 0.739
Spear. correl = 0.86
RMSE = 0.15
Likelihood = -0.526

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.67
Spear. correl = 0.85
RMSE = 0.176
Likelihood = -0.562

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.838
Spear. correl = 0.84
RMSE = 0.133
Likelihood = -0.363

Metric: CNN


Prediction map
Pear. correl = 0.846
Spear. correl = 0.837
RMSE = 0.114
Likelihood = -0.452

chairs: lev=1 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.353
Spear. correl = 0.35
RMSE = 0.0214
Likelihood = 0.335

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.36
Spear. correl = 0.352
RMSE = 0.0177
Likelihood = 0.315

Metric: T-sCIELab


Prediction map
Pear. correl = 0.309
Spear. correl = 0.401
RMSE = 0.0184
Likelihood = 0.301

Metric: T-SSIM


Prediction map
Pear. correl = 0.166
Spear. correl = 0.408
RMSE = 0.0197
Likelihood = 0.272

Metric: T-FSIM


Prediction map
Pear. correl = 0.315
Spear. correl = 0.246
RMSE = 0.0746
Likelihood = 0.329

Metric: T-VSI


Prediction map
Pear. correl = 0.416
Spear. correl = 0.361
RMSE = 0.0364
Likelihood = 0.34

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.507
Spear. correl = 0.394
RMSE = 0.0162
Likelihood = 0.335

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.571
Spear. correl = 0.372
RMSE = 0.0335
Likelihood = 0.352

Metric: CNN


Prediction map
Pear. correl = 0.211
Spear. correl = 0.316
RMSE = 0.0329
Likelihood = 0.326

chairs: lev=2 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.663
Spear. correl = 0.624
RMSE = 0.0848
Likelihood = 0.00365

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.691
Spear. correl = 0.622
RMSE = 0.094
Likelihood = -0.027

Metric: T-sCIELab


Prediction map
Pear. correl = 0.464
Spear. correl = 0.638
RMSE = 0.096
Likelihood = -0.0467

Metric: T-SSIM


Prediction map
Pear. correl = 0.248
Spear. correl = 0.508
RMSE = 0.101
Likelihood = -0.0719

Metric: T-FSIM


Prediction map
Pear. correl = 0.566
Spear. correl = 0.35
RMSE = 0.134
Likelihood = 0.0442

Metric: T-VSI


Prediction map
Pear. correl = 0.725
Spear. correl = 0.64
RMSE = 0.0761
Likelihood = 0.0601

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.836
Spear. correl = 0.662
RMSE = 0.0811
Likelihood = -0.00127

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.859
Spear. correl = 0.635
RMSE = 0.0585
Likelihood = 0.104

Metric: CNN


Prediction map
Pear. correl = 0.755
Spear. correl = 0.644
RMSE = 0.0918
Likelihood = 0.107

chairs: lev=3 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.79
Spear. correl = 0.7
RMSE = 0.204
Likelihood = -0.186

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.775
Spear. correl = 0.69
RMSE = 0.224
Likelihood = -0.195

Metric: T-sCIELab


Prediction map
Pear. correl = 0.568
Spear. correl = 0.705
RMSE = 0.225
Likelihood = -0.209

Metric: T-SSIM


Prediction map
Pear. correl = 0.346
Spear. correl = 0.634
RMSE = 0.232
Likelihood = -0.218

Metric: T-FSIM


Prediction map
Pear. correl = 0.624
Spear. correl = 0.371
RMSE = 0.199
Likelihood = -0.155

Metric: T-VSI


Prediction map
Pear. correl = 0.823
Spear. correl = 0.71
RMSE = 0.13
Likelihood = -0.133

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.911
Spear. correl = 0.741
RMSE = 0.192
Likelihood = -0.196

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.922
Spear. correl = 0.726
RMSE = 0.0883
Likelihood = -0.083

Metric: CNN


Prediction map
Pear. correl = 0.898
Spear. correl = 0.732
RMSE = 0.107
Likelihood = -0.0386

cornell: lev=1 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.284
Spear. correl = 0.135
RMSE = 0.0431
Likelihood = 0.371

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.393
Spear. correl = 0.136
RMSE = 0.0346
Likelihood = 0.374

Metric: T-sCIELab


Prediction map
Pear. correl = 0.34
Spear. correl = 0.153
RMSE = 0.0357
Likelihood = 0.376

Metric: T-SSIM


Prediction map
Pear. correl = 0.5
Spear. correl = 0.274
RMSE = 0.0334
Likelihood = 0.38

Metric: T-FSIM


Prediction map
Pear. correl = 0.128
Spear. correl = 0.134
RMSE = 0.0532
Likelihood = 0.369

Metric: T-VSI


Prediction map
Pear. correl = 0.259
Spear. correl = 0.173
RMSE = 0.0423
Likelihood = 0.378

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.45
Spear. correl = 0.207
RMSE = 0.0336
Likelihood = 0.381

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.00838
Spear. correl = 0.114
RMSE = 0.0691
Likelihood = 0.356

Metric: CNN


Prediction map
Pear. correl = 0.563
Spear. correl = 0.225
RMSE = 0.0333
Likelihood = 0.384

cornell: lev=2 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.353
Spear. correl = 0.208
RMSE = 0.0864
Likelihood = 0.0373

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.46
Spear. correl = 0.208
RMSE = 0.0841
Likelihood = 0.0115

Metric: T-sCIELab


Prediction map
Pear. correl = 0.396
Spear. correl = 0.227
RMSE = 0.0836
Likelihood = 0.011

Metric: T-SSIM


Prediction map
Pear. correl = 0.531
Spear. correl = 0.262
RMSE = 0.0788
Likelihood = -0.0197

Metric: T-FSIM


Prediction map
Pear. correl = 0.267
Spear. correl = 0.209
RMSE = 0.115
Likelihood = 0.0446

Metric: T-VSI


Prediction map
Pear. correl = 0.447
Spear. correl = 0.267
RMSE = 0.0846
Likelihood = 0.0497

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.519
Spear. correl = 0.312
RMSE = 0.0767
Likelihood = 0.0686

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.0971
Spear. correl = 0.255
RMSE = 0.163
Likelihood = 0.0656

Metric: CNN


Prediction map
Pear. correl = 0.762
Spear. correl = 0.328
RMSE = 0.0624
Likelihood = 0.0844

cornell: lev=3 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.436
Spear. correl = 0.4
RMSE = 0.121
Likelihood = -0.168

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.513
Spear. correl = 0.395
RMSE = 0.127
Likelihood = -0.236

Metric: T-sCIELab


Prediction map
Pear. correl = 0.431
Spear. correl = 0.419
RMSE = 0.124
Likelihood = -0.225

Metric: T-SSIM


Prediction map
Pear. correl = 0.495
Spear. correl = 0.422
RMSE = 0.123
Likelihood = -0.29

Metric: T-FSIM


Prediction map
Pear. correl = 0.439
Spear. correl = 0.405
RMSE = 0.148
Likelihood = -0.138

Metric: T-VSI


Prediction map
Pear. correl = 0.585
Spear. correl = 0.468
RMSE = 0.111
Likelihood = -0.169

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.552
Spear. correl = 0.503
RMSE = 0.111
Likelihood = -0.136

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.341
Spear. correl = 0.51
RMSE = 0.218
Likelihood = -0.0673

Metric: CNN


Prediction map
Pear. correl = 0.767
Spear. correl = 0.463
RMSE = 0.0905
Likelihood = -0.136

disney2-fin-pt-40: lev=1 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.591
Spear. correl = 0.215
RMSE = 0.0676
Likelihood = 0.33

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.615
Spear. correl = 0.22
RMSE = 0.0697
Likelihood = 0.335

Metric: T-sCIELab


Prediction map
Pear. correl = 0.657
Spear. correl = 0.268
RMSE = 0.0611
Likelihood = 0.346

Metric: T-SSIM


Prediction map
Pear. correl = 0.573
Spear. correl = 0.371
RMSE = 0.0822
Likelihood = 0.354

Metric: T-FSIM


Prediction map
Pear. correl = 0.481
Spear. correl = 0.291
RMSE = 0.125
Likelihood = 0.341

Metric: T-VSI


Prediction map
Pear. correl = 0.641
Spear. correl = 0.271
RMSE = 0.0754
Likelihood = 0.347

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.833
Spear. correl = 0.419
RMSE = 0.0526
Likelihood = 0.365

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.551
Spear. correl = 0.4
RMSE = 0.104
Likelihood = 0.364

Metric: CNN


Prediction map
Pear. correl = 0.877
Spear. correl = 0.433
RMSE = 0.0408
Likelihood = 0.377

disney2-fin-pt-40: lev=2 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.624
Spear. correl = 0.332
RMSE = 0.0888
Likelihood = 0.174

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.657
Spear. correl = 0.338
RMSE = 0.0859
Likelihood = 0.156

Metric: T-sCIELab


Prediction map
Pear. correl = 0.702
Spear. correl = 0.445
RMSE = 0.0762
Likelihood = 0.169

Metric: T-SSIM


Prediction map
Pear. correl = 0.652
Spear. correl = 0.485
RMSE = 0.125
Likelihood = 0.185

Metric: T-FSIM


Prediction map
Pear. correl = 0.59
Spear. correl = 0.443
RMSE = 0.196
Likelihood = 0.199

Metric: T-VSI


Prediction map
Pear. correl = 0.683
Spear. correl = 0.407
RMSE = 0.122
Likelihood = 0.193

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.884
Spear. correl = 0.604
RMSE = 0.0524
Likelihood = 0.244

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.686
Spear. correl = 0.588
RMSE = 0.198
Likelihood = 0.248

Metric: CNN


Prediction map
Pear. correl = 0.876
Spear. correl = 0.619
RMSE = 0.0751
Likelihood = 0.265

disney2-fin-pt-40: lev=3 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.606
Spear. correl = 0.327
RMSE = 0.12
Likelihood = 0.0913

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.634
Spear. correl = 0.317
RMSE = 0.11
Likelihood = 0.0814

Metric: T-sCIELab


Prediction map
Pear. correl = 0.696
Spear. correl = 0.441
RMSE = 0.0983
Likelihood = 0.105

Metric: T-SSIM


Prediction map
Pear. correl = 0.694
Spear. correl = 0.468
RMSE = 0.151
Likelihood = 0.128

Metric: T-FSIM


Prediction map
Pear. correl = 0.598
Spear. correl = 0.448
RMSE = 0.253
Likelihood = 0.131

Metric: T-VSI


Prediction map
Pear. correl = 0.65
Spear. correl = 0.403
RMSE = 0.174
Likelihood = 0.121

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.842
Spear. correl = 0.624
RMSE = 0.0985
Likelihood = 0.188

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.697
Spear. correl = 0.61
RMSE = 0.268
Likelihood = 0.161

Metric: CNN


Prediction map
Pear. correl = 0.883
Spear. correl = 0.66
RMSE = 0.107
Likelihood = 0.221

dragons: lev=1 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.236
Spear. correl = 0.273
RMSE = 0.0941
Likelihood = 0.315

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.204
Spear. correl = 0.287
RMSE = 0.0331
Likelihood = 0.304

Metric: T-sCIELab


Prediction map
Pear. correl = 0.108
Spear. correl = 0.252
RMSE = 0.0508
Likelihood = 0.282

Metric: T-SSIM


Prediction map
Pear. correl = 0.115
Spear. correl = 0.294
RMSE = 0.0818
Likelihood = 0.286

Metric: T-FSIM


Prediction map
Pear. correl = 0.139
Spear. correl = 0.219
RMSE = 0.082
Likelihood = 0.297

Metric: T-VSI


Prediction map
Pear. correl = 0.163
Spear. correl = 0.234
RMSE = 0.0844
Likelihood = 0.307

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.291
Spear. correl = 0.321
RMSE = 0.0349
Likelihood = 0.331

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.311
Spear. correl = 0.354
RMSE = 0.0362
Likelihood = 0.332

Metric: CNN


Prediction map
Pear. correl = 0.391
Spear. correl = 0.327
RMSE = 0.0471
Likelihood = 0.328

dragons: lev=2 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.604
Spear. correl = 0.678
RMSE = 0.112
Likelihood = -0.334

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.448
Spear. correl = 0.662
RMSE = 0.107
Likelihood = -0.634

Metric: T-sCIELab


Prediction map
Pear. correl = 0.263
Spear. correl = 0.63
RMSE = 0.125
Likelihood = -0.649

Metric: T-SSIM


Prediction map
Pear. correl = 0.395
Spear. correl = 0.669
RMSE = 0.144
Likelihood = -0.509

Metric: T-FSIM


Prediction map
Pear. correl = 0.547
Spear. correl = 0.69
RMSE = 0.147
Likelihood = -0.331

Metric: T-VSI


Prediction map
Pear. correl = 0.562
Spear. correl = 0.694
RMSE = 0.136
Likelihood = -0.311

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.671
Spear. correl = 0.754
RMSE = 0.0793
Likelihood = -0.35

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.738
Spear. correl = 0.778
RMSE = 0.0746
Likelihood = -0.318

Metric: CNN


Prediction map
Pear. correl = 0.785
Spear. correl = 0.802
RMSE = 0.131
Likelihood = -0.205

dragons: lev=3 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.671
Spear. correl = 0.717
RMSE = 0.165
Likelihood = -0.89

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.525
Spear. correl = 0.706
RMSE = 0.235
Likelihood = -1.11

Metric: T-sCIELab


Prediction map
Pear. correl = 0.353
Spear. correl = 0.685
RMSE = 0.248
Likelihood = -1.11

Metric: T-SSIM


Prediction map
Pear. correl = 0.555
Spear. correl = 0.719
RMSE = 0.203
Likelihood = -0.975

Metric: T-FSIM


Prediction map
Pear. correl = 0.626
Spear. correl = 0.725
RMSE = 0.196
Likelihood = -0.788

Metric: T-VSI


Prediction map
Pear. correl = 0.64
Spear. correl = 0.745
RMSE = 0.185
Likelihood = -0.82

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.688
Spear. correl = 0.793
RMSE = 0.167
Likelihood = -0.895

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.714
Spear. correl = 0.796
RMSE = 0.155
Likelihood = -0.786

Metric: CNN


Prediction map
Pear. correl = 0.745
Spear. correl = 0.798
RMSE = 0.206
Likelihood = -0.604

icido: lev=1 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.378
Spear. correl = 0.366
RMSE = 0.0401
Likelihood = 0.369

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.324
Spear. correl = 0.352
RMSE = 0.0197
Likelihood = 0.353

Metric: T-sCIELab


Prediction map
Pear. correl = 0.306
Spear. correl = 0.36
RMSE = 0.032
Likelihood = 0.351

Metric: T-SSIM


Prediction map
Pear. correl = 0.218
Spear. correl = 0.14
RMSE = 0.0251
Likelihood = 0.327

Metric: T-FSIM


Prediction map
Pear. correl = 0.0482
Spear. correl = 0.243
RMSE = 0.148
Likelihood = 0.332

Metric: T-VSI


Prediction map
Pear. correl = 0.0813
Spear. correl = 0.337
RMSE = 0.0747
Likelihood = 0.342

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.307
Spear. correl = 0.347
RMSE = 0.0378
Likelihood = 0.369

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.0394
Spear. correl = 0.253
RMSE = 0.0703
Likelihood = 0.343

Metric: CNN


Prediction map
Pear. correl = 0.364
Spear. correl = 0.12
RMSE = 0.0372
Likelihood = 0.349

icido: lev=2 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.488
Spear. correl = 0.488
RMSE = 0.0713
Likelihood = 0.231

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.467
Spear. correl = 0.479
RMSE = 0.0628
Likelihood = 0.215

Metric: T-sCIELab


Prediction map
Pear. correl = 0.428
Spear. correl = 0.492
RMSE = 0.0734
Likelihood = 0.212

Metric: T-SSIM


Prediction map
Pear. correl = 0.367
Spear. correl = 0.346
RMSE = 0.0779
Likelihood = 0.177

Metric: T-FSIM


Prediction map
Pear. correl = 0.307
Spear. correl = 0.352
RMSE = 0.21
Likelihood = 0.217

Metric: T-VSI


Prediction map
Pear. correl = 0.444
Spear. correl = 0.489
RMSE = 0.106
Likelihood = 0.228

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.443
Spear. correl = 0.448
RMSE = 0.0974
Likelihood = 0.247

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.173
Spear. correl = 0.35
RMSE = 0.179
Likelihood = 0.224

Metric: CNN


Prediction map
Pear. correl = 0.606
Spear. correl = 0.29
RMSE = 0.0943
Likelihood = 0.247

icido: lev=3 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.665
Spear. correl = 0.683
RMSE = 0.0913
Likelihood = 0.105

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.642
Spear. correl = 0.679
RMSE = 0.1
Likelihood = 0.0817

Metric: T-sCIELab


Prediction map
Pear. correl = 0.602
Spear. correl = 0.69
RMSE = 0.0995
Likelihood = 0.0722

Metric: T-SSIM


Prediction map
Pear. correl = 0.552
Spear. correl = 0.605
RMSE = 0.108
Likelihood = 0.0258

Metric: T-FSIM


Prediction map
Pear. correl = 0.545
Spear. correl = 0.53
RMSE = 0.23
Likelihood = 0.129

Metric: T-VSI


Prediction map
Pear. correl = 0.718
Spear. correl = 0.689
RMSE = 0.104
Likelihood = 0.122

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.671
Spear. correl = 0.635
RMSE = 0.122
Likelihood = 0.156

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.524
Spear. correl = 0.558
RMSE = 0.211
Likelihood = 0.15

Metric: CNN


Prediction map
Pear. correl = 0.843
Spear. correl = 0.483
RMSE = 0.0902
Likelihood = 0.161

kitchen: lev=1 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0672
Spear. correl = 0.157
RMSE = 0.157
Likelihood = 0.401

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0848
Spear. correl = 0.17
RMSE = 0.074
Likelihood = 0.429

Metric: T-sCIELab


Prediction map
Pear. correl = 0.0794
Spear. correl = 0.16
RMSE = 0.182
Likelihood = 0.395

Metric: T-SSIM


Prediction map
Pear. correl = 0.0657
Spear. correl = 0.16
RMSE = 0.192
Likelihood = 0.398

Metric: T-FSIM


Prediction map
Pear. correl = 0.117
Spear. correl = 0.146
RMSE = 0.122
Likelihood = 0.411

Metric: T-VSI


Prediction map
Pear. correl = 0.126
Spear. correl = 0.177
RMSE = 0.0967
Likelihood = 0.425

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.0556
Spear. correl = 0.137
RMSE = 0.256
Likelihood = 0.37

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.147
Spear. correl = 0.15
RMSE = 0.15
Likelihood = 0.386

Metric: CNN


Prediction map
Pear. correl = 0.0507
Spear. correl = 0.0707
RMSE = 0.12
Likelihood = 0.426

kitchen: lev=2 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.472
Spear. correl = 0.638
RMSE = 0.22
Likelihood = 0.216

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.543
Spear. correl = 0.662
RMSE = 0.128
Likelihood = 0.223

Metric: T-sCIELab


Prediction map
Pear. correl = 0.56
Spear. correl = 0.643
RMSE = 0.275
Likelihood = 0.235

Metric: T-SSIM


Prediction map
Pear. correl = 0.46
Spear. correl = 0.626
RMSE = 0.268
Likelihood = 0.192

Metric: T-FSIM


Prediction map
Pear. correl = 0.485
Spear. correl = 0.503
RMSE = 0.203
Likelihood = 0.207

Metric: T-VSI


Prediction map
Pear. correl = 0.539
Spear. correl = 0.649
RMSE = 0.155
Likelihood = 0.228

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.508
Spear. correl = 0.565
RMSE = 0.359
Likelihood = 0.203

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.511
Spear. correl = 0.536
RMSE = 0.318
Likelihood = 0.198

Metric: CNN


Prediction map
Pear. correl = 0.642
Spear. correl = 0.538
RMSE = 0.184
Likelihood = 0.215

kitchen: lev=3 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.59
Spear. correl = 0.709
RMSE = 0.246
Likelihood = 0.115

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.657
Spear. correl = 0.727
RMSE = 0.162
Likelihood = 0.113

Metric: T-sCIELab


Prediction map
Pear. correl = 0.683
Spear. correl = 0.726
RMSE = 0.303
Likelihood = 0.142

Metric: T-SSIM


Prediction map
Pear. correl = 0.579
Spear. correl = 0.71
RMSE = 0.291
Likelihood = 0.0947

Metric: T-FSIM


Prediction map
Pear. correl = 0.575
Spear. correl = 0.587
RMSE = 0.244
Likelihood = 0.104

Metric: T-VSI


Prediction map
Pear. correl = 0.629
Spear. correl = 0.69
RMSE = 0.188
Likelihood = 0.116

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.603
Spear. correl = 0.662
RMSE = 0.391
Likelihood = 0.115

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.597
Spear. correl = 0.632
RMSE = 0.395
Likelihood = 0.0985

Metric: CNN


Prediction map
Pear. correl = 0.746
Spear. correl = 0.656
RMSE = 0.214
Likelihood = 0.142

mpii: lev=1 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.2
Spear. correl = 0.154
RMSE = 0.148
Likelihood = 0.353

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.192
Spear. correl = 0.155
RMSE = 0.078
Likelihood = 0.361

Metric: T-sCIELab


Prediction map
Pear. correl = 0.2
Spear. correl = 0.144
RMSE = 0.163
Likelihood = 0.353

Metric: T-SSIM


Prediction map
Pear. correl = 0.209
Spear. correl = 0.207
RMSE = 0.149
Likelihood = 0.356

Metric: T-FSIM


Prediction map
Pear. correl = 0.224
Spear. correl = 0.161
RMSE = 0.142
Likelihood = 0.355

Metric: T-VSI


Prediction map
Pear. correl = 0.233
Spear. correl = 0.153
RMSE = 0.134
Likelihood = 0.355

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.195
Spear. correl = 0.139
RMSE = 0.198
Likelihood = 0.343

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.165
Spear. correl = 0.138
RMSE = 0.138
Likelihood = 0.349

Metric: CNN


Prediction map
Pear. correl = 0.221
Spear. correl = 0.181
RMSE = 0.123
Likelihood = 0.359

mpii: lev=2 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.739
Spear. correl = 0.461
RMSE = 0.139
Likelihood = 0.269

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.722
Spear. correl = 0.46
RMSE = 0.0855
Likelihood = 0.268

Metric: T-sCIELab


Prediction map
Pear. correl = 0.73
Spear. correl = 0.448
RMSE = 0.156
Likelihood = 0.27

Metric: T-SSIM


Prediction map
Pear. correl = 0.723
Spear. correl = 0.559
RMSE = 0.142
Likelihood = 0.265

Metric: T-FSIM


Prediction map
Pear. correl = 0.758
Spear. correl = 0.434
RMSE = 0.143
Likelihood = 0.271

Metric: T-VSI


Prediction map
Pear. correl = 0.764
Spear. correl = 0.445
RMSE = 0.135
Likelihood = 0.271

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.701
Spear. correl = 0.435
RMSE = 0.199
Likelihood = 0.269

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.689
Spear. correl = 0.396
RMSE = 0.169
Likelihood = 0.27

Metric: CNN


Prediction map
Pear. correl = 0.73
Spear. correl = 0.389
RMSE = 0.145
Likelihood = 0.278

plants-d: lev=1 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.121
Spear. correl = 0.234
RMSE = 0.135
Likelihood = 0.24

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0929
Spear. correl = 0.228
RMSE = 0.0662
Likelihood = 0.251

Metric: T-sCIELab


Prediction map
Pear. correl = 0.0742
Spear. correl = 0.228
RMSE = 0.0495
Likelihood = 0.242

Metric: T-SSIM


Prediction map
Pear. correl = 0.0595
Spear. correl = 0.203
RMSE = 0.113
Likelihood = 0.227

Metric: T-FSIM


Prediction map
Pear. correl = 0.143
Spear. correl = 0.255
RMSE = 0.106
Likelihood = 0.246

Metric: T-VSI


Prediction map
Pear. correl = 0.147
Spear. correl = 0.256
RMSE = 0.112
Likelihood = 0.247

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.145
Spear. correl = 0.25
RMSE = 0.0366
Likelihood = 0.256

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.17
Spear. correl = 0.278
RMSE = 0.0503
Likelihood = 0.269

Metric: CNN


Prediction map
Pear. correl = 0.0936
Spear. correl = 0.177
RMSE = 0.0324
Likelihood = 0.216

plants-d: lev=2 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.453
Spear. correl = 0.448
RMSE = 0.189
Likelihood = 0.0714

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.4
Spear. correl = 0.438
RMSE = 0.117
Likelihood = 0.0544

Metric: T-sCIELab


Prediction map
Pear. correl = 0.333
Spear. correl = 0.439
RMSE = 0.0982
Likelihood = 0.0295

Metric: T-SSIM


Prediction map
Pear. correl = 0.392
Spear. correl = 0.435
RMSE = 0.219
Likelihood = 0.0559

Metric: T-FSIM


Prediction map
Pear. correl = 0.498
Spear. correl = 0.469
RMSE = 0.193
Likelihood = 0.0691

Metric: T-VSI


Prediction map
Pear. correl = 0.499
Spear. correl = 0.47
RMSE = 0.193
Likelihood = 0.0716

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.499
Spear. correl = 0.476
RMSE = 0.0819
Likelihood = 0.0572

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.53
Spear. correl = 0.49
RMSE = 0.143
Likelihood = 0.099

Metric: CNN


Prediction map
Pear. correl = 0.47
Spear. correl = 0.456
RMSE = 0.106
Likelihood = 0.0764

plants-d: lev=3 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.579
Spear. correl = 0.578
RMSE = 0.201
Likelihood = -0.225

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.529
Spear. correl = 0.572
RMSE = 0.159
Likelihood = -0.272

Metric: T-sCIELab


Prediction map
Pear. correl = 0.462
Spear. correl = 0.567
RMSE = 0.157
Likelihood = -0.307

Metric: T-SSIM


Prediction map
Pear. correl = 0.539
Spear. correl = 0.556
RMSE = 0.254
Likelihood = -0.235

Metric: T-FSIM


Prediction map
Pear. correl = 0.599
Spear. correl = 0.588
RMSE = 0.225
Likelihood = -0.228

Metric: T-VSI


Prediction map
Pear. correl = 0.601
Spear. correl = 0.586
RMSE = 0.22
Likelihood = -0.224

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.598
Spear. correl = 0.591
RMSE = 0.138
Likelihood = -0.266

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.625
Spear. correl = 0.621
RMSE = 0.218
Likelihood = -0.162

Metric: CNN


Prediction map
Pear. correl = 0.582
Spear. correl = 0.566
RMSE = 0.173
Likelihood = -0.21

plants-u: lev=1 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.004
Spear. correl = 0.00535
RMSE = 0.137
Likelihood = 0.399

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.00387
Spear. correl = 0.00535
RMSE = 0.0725
Likelihood = 0.43

Metric: T-sCIELab


Prediction map
Pear. correl = 0.00299
Spear. correl = 0.00524
RMSE = 0.066
Likelihood = 0.443

Metric: T-SSIM


Prediction map
Pear. correl = 0.00273
Spear. correl = 0.00431
RMSE = 0.114
Likelihood = 0.431

Metric: T-FSIM


Prediction map
Pear. correl = 0.00273
Spear. correl = 0.00502
RMSE = 0.19
Likelihood = 0.413

Metric: T-VSI


Prediction map
Pear. correl = 0.00269
Spear. correl = 0.00502
RMSE = 0.148
Likelihood = 0.423

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.00354
Spear. correl = 0.00498
RMSE = 0.0489
Likelihood = 0.446

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.00338
Spear. correl = 0.00566
RMSE = 0.112
Likelihood = 0.42

Metric: CNN


Prediction map
Pear. correl = 0.00268
Spear. correl = 0.00428
RMSE = 0.0846
Likelihood = 0.442

plants-u: lev=2 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.729
Spear. correl = 0.671
RMSE = 0.127
Likelihood = -0.253

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.704
Spear. correl = 0.669
RMSE = 0.0998
Likelihood = -0.326

Metric: T-sCIELab


Prediction map
Pear. correl = 0.547
Spear. correl = 0.666
RMSE = 0.125
Likelihood = -0.368

Metric: T-SSIM


Prediction map
Pear. correl = 0.651
Spear. correl = 0.68
RMSE = 0.189
Likelihood = -0.293

Metric: T-FSIM


Prediction map
Pear. correl = 0.642
Spear. correl = 0.657
RMSE = 0.221
Likelihood = -0.29

Metric: T-VSI


Prediction map
Pear. correl = 0.613
Spear. correl = 0.672
RMSE = 0.182
Likelihood = -0.311

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.678
Spear. correl = 0.697
RMSE = 0.115
Likelihood = -0.304

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.712
Spear. correl = 0.688
RMSE = 0.21
Likelihood = -0.205

Metric: CNN


Prediction map
Pear. correl = 0.417
Spear. correl = 0.374
RMSE = 0.205
Likelihood = -0.371

plants-u: lev=3 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.723
Spear. correl = 0.727
RMSE = 0.189
Likelihood = -0.427

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.706
Spear. correl = 0.728
RMSE = 0.205
Likelihood = -0.472

Metric: T-sCIELab


Prediction map
Pear. correl = 0.71
Spear. correl = 0.739
RMSE = 0.208
Likelihood = -0.513

Metric: T-SSIM


Prediction map
Pear. correl = 0.758
Spear. correl = 0.741
RMSE = 0.21
Likelihood = -0.404

Metric: T-FSIM


Prediction map
Pear. correl = 0.808
Spear. correl = 0.702
RMSE = 0.192
Likelihood = -0.371

Metric: T-VSI


Prediction map
Pear. correl = 0.784
Spear. correl = 0.746
RMSE = 0.181
Likelihood = -0.421

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.823
Spear. correl = 0.77
RMSE = 0.158
Likelihood = -0.394

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.844
Spear. correl = 0.769
RMSE = 0.206
Likelihood = -0.288

Metric: CNN


Prediction map
Pear. correl = 0.672
Spear. correl = 0.562
RMSE = 0.225
Likelihood = -0.457

room: lev=1 ppd=40

Observer marking

Cross-validation fold: 1
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0362
Spear. correl = -0.119
RMSE = 0.115
Likelihood = 0.253

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.0259
Spear. correl = -0.117
RMSE = 0.056
Likelihood = 0.273

Metric: T-sCIELab


Prediction map
Pear. correl = -0.0102
Spear. correl = -0.114
RMSE = 0.133
Likelihood = 0.257

Metric: T-SSIM


Prediction map
Pear. correl = -0.00349
Spear. correl = -0.0641
RMSE = 0.151
Likelihood = 0.258

Metric: T-FSIM


Prediction map
Pear. correl = 0.00351
Spear. correl = -0.113
RMSE = 0.188
Likelihood = 0.241

Metric: T-VSI


Prediction map
Pear. correl = 0.0145
Spear. correl = -0.0965
RMSE = 0.17
Likelihood = 0.25

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.0155
Spear. correl = -0.112
RMSE = 0.141
Likelihood = 0.251

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.0225
Spear. correl = -0.127
RMSE = 0.246
Likelihood = 0.216

Metric: CNN


Prediction map
Pear. correl = 0.00962
Spear. correl = -0.228
RMSE = 0.0611
Likelihood = 0.273

room: lev=2 ppd=40

Observer marking

Cross-validation fold: 1
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.358
Spear. correl = 0.349
RMSE = 0.164
Likelihood = 0.0492

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.331
Spear. correl = 0.348
RMSE = 0.0927
Likelihood = 0.0441

Metric: T-sCIELab


Prediction map
Pear. correl = 0.385
Spear. correl = 0.351
RMSE = 0.19
Likelihood = 0.0444

Metric: T-SSIM


Prediction map
Pear. correl = 0.372
Spear. correl = 0.393
RMSE = 0.225
Likelihood = 0.0239

Metric: T-FSIM


Prediction map
Pear. correl = 0.422
Spear. correl = 0.372
RMSE = 0.278
Likelihood = 0.0554

Metric: T-VSI


Prediction map
Pear. correl = 0.415
Spear. correl = 0.394
RMSE = 0.252
Likelihood = 0.0522

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.385
Spear. correl = 0.321
RMSE = 0.252
Likelihood = 0.0363

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.366
Spear. correl = 0.32
RMSE = 0.373
Likelihood = 0.0277

Metric: CNN


Prediction map
Pear. correl = 0.33
Spear. correl = 0.147
RMSE = 0.224
Likelihood = 0.00544

room: lev=3 ppd=40

Observer marking

Cross-validation fold: 1
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.47
Spear. correl = 0.475
RMSE = 0.183
Likelihood = -0.47

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.425
Spear. correl = 0.474
RMSE = 0.143
Likelihood = -0.512

Metric: T-sCIELab


Prediction map
Pear. correl = 0.458
Spear. correl = 0.472
RMSE = 0.21
Likelihood = -0.479

Metric: T-SSIM


Prediction map
Pear. correl = 0.456
Spear. correl = 0.518
RMSE = 0.246
Likelihood = -0.507

Metric: T-FSIM


Prediction map
Pear. correl = 0.544
Spear. correl = 0.427
RMSE = 0.282
Likelihood = -0.421

Metric: T-VSI


Prediction map
Pear. correl = 0.523
Spear. correl = 0.5
RMSE = 0.262
Likelihood = -0.47

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.425
Spear. correl = 0.444
RMSE = 0.294
Likelihood = -0.455

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.468
Spear. correl = 0.436
RMSE = 0.381
Likelihood = -0.428

Metric: CNN


Prediction map
Pear. correl = 0.397
Spear. correl = 0.296
RMSE = 0.264
Likelihood = -0.477

sanmiguel: lev=1 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = -0.0244
Spear. correl = -0.0369
RMSE = 0.0759
Likelihood = 0.435

Metric: T-CIEDE2000


Prediction map
Pear. correl = -0.0255
Spear. correl = -0.0369
RMSE = 0.0315
Likelihood = 0.451

Metric: T-sCIELab


Prediction map
Pear. correl = -0.0176
Spear. correl = -0.0377
RMSE = 0.0796
Likelihood = 0.444

Metric: T-SSIM


Prediction map
Pear. correl = -0.0175
Spear. correl = -0.0324
RMSE = 0.134
Likelihood = 0.436

Metric: T-FSIM


Prediction map
Pear. correl = -0.024
Spear. correl = -0.0568
RMSE = 0.182
Likelihood = 0.411

Metric: T-VSI


Prediction map
Pear. correl = -0.0195
Spear. correl = -0.0376
RMSE = 0.111
Likelihood = 0.435

Metric: T-Butteraugli


Prediction map
Pear. correl = -0.0229
Spear. correl = -0.0429
RMSE = 0.0841
Likelihood = 0.435

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.0288
Spear. correl = -0.0557
RMSE = 0.11
Likelihood = 0.417

Metric: CNN


Prediction map
Pear. correl = -0.0163
Spear. correl = -0.0373
RMSE = 0.0246
Likelihood = 0.459

sanmiguel: lev=2 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.421
Spear. correl = 0.309
RMSE = 0.114
Likelihood = 0.042

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.411
Spear. correl = 0.31
RMSE = 0.0747
Likelihood = 0.0196

Metric: T-sCIELab


Prediction map
Pear. correl = 0.245
Spear. correl = 0.283
RMSE = 0.137
Likelihood = 0.0168

Metric: T-SSIM


Prediction map
Pear. correl = 0.366
Spear. correl = 0.293
RMSE = 0.201
Likelihood = 0.0275

Metric: T-FSIM


Prediction map
Pear. correl = 0.456
Spear. correl = 0.261
RMSE = 0.255
Likelihood = 0.0569

Metric: T-VSI


Prediction map
Pear. correl = 0.505
Spear. correl = 0.326
RMSE = 0.168
Likelihood = 0.049

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.313
Spear. correl = 0.28
RMSE = 0.175
Likelihood = 0.0421

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.407
Spear. correl = 0.298
RMSE = 0.257
Likelihood = 0.0727

Metric: CNN


Prediction map
Pear. correl = 0.366
Spear. correl = 0.277
RMSE = 0.0997
Likelihood = 0.0246

sanmiguel: lev=3 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.478
Spear. correl = 0.38
RMSE = 0.147
Likelihood = -0.00354

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.461
Spear. correl = 0.382
RMSE = 0.112
Likelihood = -0.0218

Metric: T-sCIELab


Prediction map
Pear. correl = 0.314
Spear. correl = 0.357
RMSE = 0.179
Likelihood = -0.0224

Metric: T-SSIM


Prediction map
Pear. correl = 0.45
Spear. correl = 0.366
RMSE = 0.243
Likelihood = -0.00215

Metric: T-FSIM


Prediction map
Pear. correl = 0.526
Spear. correl = 0.311
RMSE = 0.29
Likelihood = 0.026

Metric: T-VSI


Prediction map
Pear. correl = 0.599
Spear. correl = 0.398
RMSE = 0.193
Likelihood = 0.0149

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.394
Spear. correl = 0.35
RMSE = 0.234
Likelihood = 0.00823

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.498
Spear. correl = 0.36
RMSE = 0.323
Likelihood = 0.0478

Metric: CNN


Prediction map
Pear. correl = 0.659
Spear. correl = 0.383
RMSE = 0.146
Likelihood = 0.0256

sanmiguel_cam3: lev=1 ppd=40

Observer marking

Cross-validation fold: 4
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.145
Spear. correl = -0.00647
RMSE = 0.0702
Likelihood = 0.382

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.145
Spear. correl = -0.00536
RMSE = 0.0366
Likelihood = 0.393

Metric: T-sCIELab


Prediction map
Pear. correl = 0.174
Spear. correl = -0.00799
RMSE = 0.0888
Likelihood = 0.384

Metric: T-SSIM


Prediction map
Pear. correl = 0.169
Spear. correl = 0.0119
RMSE = 0.1
Likelihood = 0.391

Metric: T-FSIM


Prediction map
Pear. correl = 0.104
Spear. correl = -0.0297
RMSE = 0.134
Likelihood = 0.37

Metric: T-VSI


Prediction map
Pear. correl = 0.112
Spear. correl = -0.00867
RMSE = 0.105
Likelihood = 0.382

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.178
Spear. correl = -0.0145
RMSE = 0.122
Likelihood = 0.378

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.0896
Spear. correl = -0.0278
RMSE = 0.211
Likelihood = 0.352

Metric: CNN


Prediction map
Pear. correl = 0.196
Spear. correl = -0.0011
RMSE = 0.0856
Likelihood = 0.39

sanmiguel_cam3: lev=2 ppd=40

Observer marking

Cross-validation fold: 4
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.498
Spear. correl = 0.245
RMSE = 0.0999
Likelihood = 0.124

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.504
Spear. correl = 0.259
RMSE = 0.0596
Likelihood = 0.131

Metric: T-sCIELab


Prediction map
Pear. correl = 0.551
Spear. correl = 0.263
RMSE = 0.129
Likelihood = 0.129

Metric: T-SSIM


Prediction map
Pear. correl = 0.547
Spear. correl = 0.276
RMSE = 0.137
Likelihood = 0.117

Metric: T-FSIM


Prediction map
Pear. correl = 0.424
Spear. correl = 0.193
RMSE = 0.197
Likelihood = 0.117

Metric: T-VSI


Prediction map
Pear. correl = 0.396
Spear. correl = 0.237
RMSE = 0.158
Likelihood = 0.113

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.558
Spear. correl = 0.265
RMSE = 0.183
Likelihood = 0.131

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.454
Spear. correl = 0.232
RMSE = 0.283
Likelihood = 0.108

Metric: CNN


Prediction map
Pear. correl = 0.515
Spear. correl = 0.256
RMSE = 0.154
Likelihood = 0.139

sanmiguel_cam3: lev=3 ppd=40

Observer marking

Cross-validation fold: 4
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.698
Spear. correl = 0.35
RMSE = 0.106
Likelihood = 0.0351

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.712
Spear. correl = 0.366
RMSE = 0.0797
Likelihood = 0.0295

Metric: T-sCIELab


Prediction map
Pear. correl = 0.757
Spear. correl = 0.38
RMSE = 0.133
Likelihood = 0.0541

Metric: T-SSIM


Prediction map
Pear. correl = 0.726
Spear. correl = 0.368
RMSE = 0.141
Likelihood = 0.0328

Metric: T-FSIM


Prediction map
Pear. correl = 0.575
Spear. correl = 0.292
RMSE = 0.221
Likelihood = 0.0456

Metric: T-VSI


Prediction map
Pear. correl = 0.557
Spear. correl = 0.346
RMSE = 0.183
Likelihood = 0.0296

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.742
Spear. correl = 0.385
RMSE = 0.191
Likelihood = 0.0682

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.583
Spear. correl = 0.352
RMSE = 0.309
Likelihood = 0.0498

Metric: CNN


Prediction map
Pear. correl = 0.544
Spear. correl = 0.345
RMSE = 0.233
Likelihood = 0.0502

sanmiguel_cam4: lev=1 ppd=40

Observer marking

Cross-validation fold: 1
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0433
Spear. correl = 0.0649
RMSE = 0.0911
Likelihood = 0.0856

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0736
Spear. correl = 0.0729
RMSE = 0.0464
Likelihood = 0.0895

Metric: T-sCIELab


Prediction map
Pear. correl = 0.071
Spear. correl = 0.0743
RMSE = 0.0999
Likelihood = 0.089

Metric: T-SSIM


Prediction map
Pear. correl = 0.0579
Spear. correl = 0.0772
RMSE = 0.121
Likelihood = 0.061

Metric: T-FSIM


Prediction map
Pear. correl = 0.0828
Spear. correl = 0.049
RMSE = 0.121
Likelihood = 0.0573

Metric: T-VSI


Prediction map
Pear. correl = 0.0595
Spear. correl = 0.0722
RMSE = 0.106
Likelihood = 0.0403

Metric: T-Butteraugli


Prediction map
Pear. correl = -0.000882
Spear. correl = 0.0636
RMSE = 0.129
Likelihood = 0.086

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.177
Spear. correl = 0.174
RMSE = 0.133
Likelihood = 0.134

Metric: CNN


Prediction map
Pear. correl = 0.112
Spear. correl = -0.0254
RMSE = 0.0659
Likelihood = 0.0286

sanmiguel_cam4: lev=2 ppd=40

Observer marking

Cross-validation fold: 1
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.267
Spear. correl = 0.391
RMSE = 0.15
Likelihood = -0.347

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.319
Spear. correl = 0.411
RMSE = 0.098
Likelihood = -0.379

Metric: T-sCIELab


Prediction map
Pear. correl = 0.208
Spear. correl = 0.39
RMSE = 0.177
Likelihood = -0.347

Metric: T-SSIM


Prediction map
Pear. correl = 0.253
Spear. correl = 0.375
RMSE = 0.227
Likelihood = -0.374

Metric: T-FSIM


Prediction map
Pear. correl = 0.281
Spear. correl = 0.386
RMSE = 0.22
Likelihood = -0.319

Metric: T-VSI


Prediction map
Pear. correl = 0.216
Spear. correl = 0.4
RMSE = 0.196
Likelihood = -0.396

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.184
Spear. correl = 0.383
RMSE = 0.251
Likelihood = -0.289

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.484
Spear. correl = 0.485
RMSE = 0.284
Likelihood = -0.167

Metric: CNN


Prediction map
Pear. correl = 0.259
Spear. correl = 0.394
RMSE = 0.212
Likelihood = -0.392

sanmiguel_cam4: lev=3 ppd=40

Observer marking

Cross-validation fold: 1
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.477
Spear. correl = 0.606
RMSE = 0.176
Likelihood = -0.551

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.524
Spear. correl = 0.623
RMSE = 0.144
Likelihood = -0.599

Metric: T-sCIELab


Prediction map
Pear. correl = 0.4
Spear. correl = 0.6
RMSE = 0.211
Likelihood = -0.55

Metric: T-SSIM


Prediction map
Pear. correl = 0.477
Spear. correl = 0.578
RMSE = 0.255
Likelihood = -0.545

Metric: T-FSIM


Prediction map
Pear. correl = 0.531
Spear. correl = 0.572
RMSE = 0.248
Likelihood = -0.453

Metric: T-VSI


Prediction map
Pear. correl = 0.501
Spear. correl = 0.626
RMSE = 0.219
Likelihood = -0.547

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.426
Spear. correl = 0.598
RMSE = 0.286
Likelihood = -0.45

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.665
Spear. correl = 0.68
RMSE = 0.335
Likelihood = -0.297

Metric: CNN


Prediction map
Pear. correl = 0.644
Spear. correl = 0.664
RMSE = 0.234
Likelihood = -0.459

sponza: lev=1 ppd=40

Observer marking

Cross-validation fold: 4
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.135
Spear. correl = -0.0108
RMSE = 0.109
Likelihood = 0.29

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.125
Spear. correl = -0.0254
RMSE = 0.0477
Likelihood = 0.342

Metric: T-sCIELab


Prediction map
Pear. correl = 0.286
Spear. correl = 0.0178
RMSE = 0.0897
Likelihood = 0.339

Metric: T-SSIM


Prediction map
Pear. correl = 0.36
Spear. correl = 0.0447
RMSE = 0.113
Likelihood = 0.336

Metric: T-FSIM


Prediction map
Pear. correl = 0.122
Spear. correl = 0.0212
RMSE = 0.119
Likelihood = 0.323

Metric: T-VSI


Prediction map
Pear. correl = 0.124
Spear. correl = 0.0146
RMSE = 0.122
Likelihood = 0.322

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.307
Spear. correl = 0.0288
RMSE = 0.106
Likelihood = 0.335

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.131
Spear. correl = 0.0333
RMSE = 0.162
Likelihood = 0.334

Metric: CNN


Prediction map
Pear. correl = 0.224
Spear. correl = 0.151
RMSE = 0.0424
Likelihood = 0.374

sponza: lev=2 ppd=40

Observer marking

Cross-validation fold: 4
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.437
Spear. correl = 0.0354
RMSE = 0.193
Likelihood = 0.151

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.478
Spear. correl = 0.0182
RMSE = 0.0954
Likelihood = 0.217

Metric: T-sCIELab


Prediction map
Pear. correl = 0.649
Spear. correl = 0.193
RMSE = 0.156
Likelihood = 0.211

Metric: T-SSIM


Prediction map
Pear. correl = 0.615
Spear. correl = 0.23
RMSE = 0.238
Likelihood = 0.153

Metric: T-FSIM


Prediction map
Pear. correl = 0.369
Spear. correl = 0.0792
RMSE = 0.234
Likelihood = 0.173

Metric: T-VSI


Prediction map
Pear. correl = 0.333
Spear. correl = 0.0528
RMSE = 0.245
Likelihood = 0.163

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.691
Spear. correl = 0.271
RMSE = 0.22
Likelihood = 0.176

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.566
Spear. correl = 0.269
RMSE = 0.255
Likelihood = 0.197

Metric: CNN


Prediction map
Pear. correl = 0.7
Spear. correl = 0.263
RMSE = 0.107
Likelihood = 0.26

sponza: lev=3 ppd=40

Observer marking

Cross-validation fold: 4
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.404
Spear. correl = 0.016
RMSE = 0.276
Likelihood = 0.0493

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.445
Spear. correl = -0.0142
RMSE = 0.146
Likelihood = 0.126

Metric: T-sCIELab


Prediction map
Pear. correl = 0.565
Spear. correl = 0.206
RMSE = 0.257
Likelihood = 0.1

Metric: T-SSIM


Prediction map
Pear. correl = 0.506
Spear. correl = 0.256
RMSE = 0.398
Likelihood = 0.0164

Metric: T-FSIM


Prediction map
Pear. correl = 0.309
Spear. correl = 0.062
RMSE = 0.34
Likelihood = 0.0753

Metric: T-VSI


Prediction map
Pear. correl = 0.279
Spear. correl = 0.0304
RMSE = 0.353
Likelihood = 0.0648

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.535
Spear. correl = 0.294
RMSE = 0.392
Likelihood = 0.0354

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.468
Spear. correl = 0.297
RMSE = 0.397
Likelihood = 0.0724

Metric: CNN


Prediction map
Pear. correl = 0.551
Spear. correl = 0.269
RMSE = 0.23
Likelihood = 0.148

tab-fin-pt-60: lev=1 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.447
Spear. correl = 0.363
RMSE = 0.109
Likelihood = 0.199

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.526
Spear. correl = 0.466
RMSE = 0.0431
Likelihood = 0.159

Metric: T-sCIELab


Prediction map
Pear. correl = 0.376
Spear. correl = 0.306
RMSE = 0.0997
Likelihood = 0.181

Metric: T-SSIM


Prediction map
Pear. correl = 0.466
Spear. correl = 0.344
RMSE = 0.0708
Likelihood = 0.144

Metric: T-FSIM


Prediction map
Pear. correl = 0.476
Spear. correl = 0.554
RMSE = 0.0758
Likelihood = 0.153

Metric: T-VSI


Prediction map
Pear. correl = 0.527
Spear. correl = 0.545
RMSE = 0.0758
Likelihood = 0.175

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.528
Spear. correl = 0.398
RMSE = 0.073
Likelihood = 0.206

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.516
Spear. correl = 0.56
RMSE = 0.0566
Likelihood = 0.184

Metric: CNN


Prediction map
Pear. correl = 0.535
Spear. correl = 0.417
RMSE = 0.137
Likelihood = 0.137

tab-fin-pt-60: lev=2 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.563
Spear. correl = 0.43
RMSE = 0.173
Likelihood = 0.0732

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.739
Spear. correl = 0.539
RMSE = 0.089
Likelihood = 0.0531

Metric: T-sCIELab


Prediction map
Pear. correl = 0.542
Spear. correl = 0.38
RMSE = 0.179
Likelihood = 0.0615

Metric: T-SSIM


Prediction map
Pear. correl = 0.697
Spear. correl = 0.401
RMSE = 0.127
Likelihood = 0.0608

Metric: T-FSIM


Prediction map
Pear. correl = 0.713
Spear. correl = 0.639
RMSE = 0.112
Likelihood = 0.0571

Metric: T-VSI


Prediction map
Pear. correl = 0.769
Spear. correl = 0.639
RMSE = 0.101
Likelihood = 0.0772

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.673
Spear. correl = 0.514
RMSE = 0.189
Likelihood = 0.0837

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.761
Spear. correl = 0.65
RMSE = 0.121
Likelihood = 0.127

Metric: CNN


Prediction map
Pear. correl = 0.768
Spear. correl = 0.613
RMSE = 0.203
Likelihood = 0.0909

tab-fin-pt-60: lev=3 ppd=40

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.576
Spear. correl = 0.475
RMSE = 0.205
Likelihood = -0.00139

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.744
Spear. correl = 0.557
RMSE = 0.108
Likelihood = -0.0356

Metric: T-sCIELab


Prediction map
Pear. correl = 0.526
Spear. correl = 0.423
RMSE = 0.238
Likelihood = -0.0136

Metric: T-SSIM


Prediction map
Pear. correl = 0.692
Spear. correl = 0.471
RMSE = 0.169
Likelihood = -0.00227

Metric: T-FSIM


Prediction map
Pear. correl = 0.745
Spear. correl = 0.653
RMSE = 0.14
Likelihood = -0.0126

Metric: T-VSI


Prediction map
Pear. correl = 0.788
Spear. correl = 0.653
RMSE = 0.126
Likelihood = 0.00585

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.706
Spear. correl = 0.61
RMSE = 0.259
Likelihood = 0.0188

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.809
Spear. correl = 0.669
RMSE = 0.163
Likelihood = 0.0639

Metric: CNN


Prediction map
Pear. correl = 0.745
Spear. correl = 0.655
RMSE = 0.266
Likelihood = 0.0378

tt: lev=1 ppd=40

Observer marking

Cross-validation fold: 5
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0222
Spear. correl = 0.0783
RMSE = 0.0915
Likelihood = 0.386

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0211
Spear. correl = 0.0735
RMSE = 0.0455
Likelihood = 0.403

Metric: T-sCIELab


Prediction map
Pear. correl = -0.00447
Spear. correl = 0.0857
RMSE = 0.0983
Likelihood = 0.39

Metric: T-SSIM


Prediction map
Pear. correl = 0.000557
Spear. correl = 0.114
RMSE = 0.116
Likelihood = 0.391

Metric: T-FSIM


Prediction map
Pear. correl = -0.0296
Spear. correl = -0.00696
RMSE = 0.117
Likelihood = 0.37

Metric: T-VSI


Prediction map
Pear. correl = -0.00461
Spear. correl = 0.0668
RMSE = 0.0841
Likelihood = 0.392

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.000424
Spear. correl = 0.0871
RMSE = 0.177
Likelihood = 0.37

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.017
Spear. correl = 0.0635
RMSE = 0.143
Likelihood = 0.372

Metric: CNN


Prediction map
Pear. correl = 0.00548
Spear. correl = 0.00745
RMSE = 0.0328
Likelihood = 0.403

tt: lev=2 ppd=40

Observer marking

Cross-validation fold: 5
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.325
Spear. correl = 0.559
RMSE = 0.136
Likelihood = 0.24

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.326
Spear. correl = 0.57
RMSE = 0.0817
Likelihood = 0.229

Metric: T-sCIELab


Prediction map
Pear. correl = 0.225
Spear. correl = 0.53
RMSE = 0.16
Likelihood = 0.215

Metric: T-SSIM


Prediction map
Pear. correl = 0.308
Spear. correl = 0.582
RMSE = 0.205
Likelihood = 0.187

Metric: T-FSIM


Prediction map
Pear. correl = 0.314
Spear. correl = 0.414
RMSE = 0.194
Likelihood = 0.204

Metric: T-VSI


Prediction map
Pear. correl = 0.312
Spear. correl = 0.521
RMSE = 0.165
Likelihood = 0.224

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.272
Spear. correl = 0.507
RMSE = 0.277
Likelihood = 0.225

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.304
Spear. correl = 0.498
RMSE = 0.273
Likelihood = 0.223

Metric: CNN


Prediction map
Pear. correl = 0.339
Spear. correl = 0.391
RMSE = 0.135
Likelihood = 0.201

tt: lev=3 ppd=40

Observer marking

Cross-validation fold: 5
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.534
Spear. correl = 0.791
RMSE = 0.153
Likelihood = 0.0143

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.489
Spear. correl = 0.794
RMSE = 0.131
Likelihood = -0.0245

Metric: T-sCIELab


Prediction map
Pear. correl = 0.444
Spear. correl = 0.768
RMSE = 0.184
Likelihood = -0.0302

Metric: T-SSIM


Prediction map
Pear. correl = 0.538
Spear. correl = 0.796
RMSE = 0.219
Likelihood = -0.0297

Metric: T-FSIM


Prediction map
Pear. correl = 0.406
Spear. correl = 0.534
RMSE = 0.237
Likelihood = -0.0246

Metric: T-VSI


Prediction map
Pear. correl = 0.393
Spear. correl = 0.692
RMSE = 0.219
Likelihood = 0.0024

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.511
Spear. correl = 0.731
RMSE = 0.286
Likelihood = 0.0403

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.508
Spear. correl = 0.689
RMSE = 0.312
Likelihood = 0.0477

Metric: CNN


Prediction map
Pear. correl = 0.387
Spear. correl = 0.626
RMSE = 0.213
Likelihood = -0.014

villa_cam1: lev=1 ppd=40

Observer marking

Cross-validation fold: 1
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.102
Spear. correl = 0.27
RMSE = 0.0928
Likelihood = 0.393

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.0858
Spear. correl = 0.267
RMSE = 0.0498
Likelihood = 0.394

Metric: T-sCIELab


Prediction map
Pear. correl = 0.0131
Spear. correl = 0.242
RMSE = 0.116
Likelihood = 0.381

Metric: T-SSIM


Prediction map
Pear. correl = -0.00472
Spear. correl = 0.283
RMSE = 0.146
Likelihood = 0.377

Metric: T-FSIM


Prediction map
Pear. correl = 0.168
Spear. correl = 0.28
RMSE = 0.0857
Likelihood = 0.396

Metric: T-VSI


Prediction map
Pear. correl = 0.217
Spear. correl = 0.293
RMSE = 0.077
Likelihood = 0.398

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.0207
Spear. correl = 0.227
RMSE = 0.175
Likelihood = 0.373

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.114
Spear. correl = 0.241
RMSE = 0.182
Likelihood = 0.377

Metric: CNN


Prediction map
Pear. correl = 0.216
Spear. correl = 0.226
RMSE = 0.0441
Likelihood = 0.4

villa_cam1: lev=2 ppd=40

Observer marking

Cross-validation fold: 1
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.295
Spear. correl = 0.645
RMSE = 0.152
Likelihood = 0.172

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.199
Spear. correl = 0.633
RMSE = 0.129
Likelihood = 0.143

Metric: T-sCIELab


Prediction map
Pear. correl = 0.137
Spear. correl = 0.616
RMSE = 0.184
Likelihood = 0.163

Metric: T-SSIM


Prediction map
Pear. correl = 0.0842
Spear. correl = 0.579
RMSE = 0.215
Likelihood = 0.117

Metric: T-FSIM


Prediction map
Pear. correl = 0.359
Spear. correl = 0.604
RMSE = 0.167
Likelihood = 0.161

Metric: T-VSI


Prediction map
Pear. correl = 0.388
Spear. correl = 0.651
RMSE = 0.158
Likelihood = 0.153

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.175
Spear. correl = 0.548
RMSE = 0.244
Likelihood = 0.171

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.357
Spear. correl = 0.541
RMSE = 0.257
Likelihood = 0.189

Metric: CNN


Prediction map
Pear. correl = 0.536
Spear. correl = 0.511
RMSE = 0.119
Likelihood = 0.178

villa_cam1: lev=3 ppd=40

Observer marking

Cross-validation fold: 1
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.436
Spear. correl = 0.748
RMSE = 0.182
Likelihood = 0.098

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.3
Spear. correl = 0.743
RMSE = 0.178
Likelihood = 0.0742

Metric: T-sCIELab


Prediction map
Pear. correl = 0.298
Spear. correl = 0.724
RMSE = 0.215
Likelihood = 0.0974

Metric: T-SSIM


Prediction map
Pear. correl = 0.259
Spear. correl = 0.724
RMSE = 0.238
Likelihood = 0.0589

Metric: T-FSIM


Prediction map
Pear. correl = 0.53
Spear. correl = 0.693
RMSE = 0.198
Likelihood = 0.109

Metric: T-VSI


Prediction map
Pear. correl = 0.542
Spear. correl = 0.748
RMSE = 0.19
Likelihood = 0.0962

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.394
Spear. correl = 0.666
RMSE = 0.268
Likelihood = 0.123

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.533
Spear. correl = 0.65
RMSE = 0.284
Likelihood = 0.147

Metric: CNN


Prediction map
Pear. correl = 0.675
Spear. correl = 0.623
RMSE = 0.161
Likelihood = 0.135

villa_cam3: lev=1 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.173
Spear. correl = 0.0727
RMSE = 0.102
Likelihood = 0.376

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.138
Spear. correl = 0.0706
RMSE = 0.0419
Likelihood = 0.395

Metric: T-sCIELab


Prediction map
Pear. correl = 0.175
Spear. correl = 0.0641
RMSE = 0.102
Likelihood = 0.383

Metric: T-SSIM


Prediction map
Pear. correl = 0.315
Spear. correl = 0.104
RMSE = 0.148
Likelihood = 0.392

Metric: T-FSIM


Prediction map
Pear. correl = 0.208
Spear. correl = 0.0332
RMSE = 0.128
Likelihood = 0.381

Metric: T-VSI


Prediction map
Pear. correl = 0.249
Spear. correl = 0.0748
RMSE = 0.0921
Likelihood = 0.391

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.257
Spear. correl = 0.0475
RMSE = 0.141
Likelihood = 0.364

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.245
Spear. correl = 0.0349
RMSE = 0.0892
Likelihood = 0.386

Metric: CNN


Prediction map
Pear. correl = 0.278
Spear. correl = 0.0723
RMSE = 0.0391
Likelihood = 0.4

villa_cam3: lev=2 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.513
Spear. correl = 0.453
RMSE = 0.158
Likelihood = 0.268

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.486
Spear. correl = 0.449
RMSE = 0.0711
Likelihood = 0.264

Metric: T-sCIELab


Prediction map
Pear. correl = 0.47
Spear. correl = 0.434
RMSE = 0.18
Likelihood = 0.265

Metric: T-SSIM


Prediction map
Pear. correl = 0.429
Spear. correl = 0.472
RMSE = 0.203
Likelihood = 0.258

Metric: T-FSIM


Prediction map
Pear. correl = 0.431
Spear. correl = 0.342
RMSE = 0.222
Likelihood = 0.251

Metric: T-VSI


Prediction map
Pear. correl = 0.44
Spear. correl = 0.446
RMSE = 0.164
Likelihood = 0.259

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.526
Spear. correl = 0.412
RMSE = 0.269
Likelihood = 0.251

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.41
Spear. correl = 0.354
RMSE = 0.187
Likelihood = 0.254

Metric: CNN


Prediction map
Pear. correl = 0.466
Spear. correl = 0.436
RMSE = 0.138
Likelihood = 0.271

villa_cam3: lev=3 ppd=40

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 110 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.634
Spear. correl = 0.586
RMSE = 0.183
Likelihood = 0.203

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.588
Spear. correl = 0.581
RMSE = 0.103
Likelihood = 0.181

Metric: T-sCIELab


Prediction map
Pear. correl = 0.607
Spear. correl = 0.574
RMSE = 0.218
Likelihood = 0.2

Metric: T-SSIM


Prediction map
Pear. correl = 0.574
Spear. correl = 0.621
RMSE = 0.231
Likelihood = 0.193

Metric: T-FSIM


Prediction map
Pear. correl = 0.519
Spear. correl = 0.434
RMSE = 0.272
Likelihood = 0.174

Metric: T-VSI


Prediction map
Pear. correl = 0.546
Spear. correl = 0.579
RMSE = 0.199
Likelihood = 0.189

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.626
Spear. correl = 0.553
RMSE = 0.325
Likelihood = 0.186

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.517
Spear. correl = 0.486
RMSE = 0.251
Likelihood = 0.18

Metric: CNN


Prediction map
Pear. correl = 0.611
Spear. correl = 0.561
RMSE = 0.207
Likelihood = 0.2