Dataset: deghosting

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


photomatix_setup1_handheld_s: lev=1 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 100 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.459
Spear. correl = 0.536
RMSE = 0.0969
Likelihood = -0.286

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.334
Spear. correl = 0.353
RMSE = 0.0903
Likelihood = -0.313

Metric: T-sCIELab


Prediction map
Pear. correl = 0.308
Spear. correl = 0.328
RMSE = 0.159
Likelihood = -0.432

Metric: T-SSIM


Prediction map
Pear. correl = 0.442
Spear. correl = 0.585
RMSE = 0.175
Likelihood = -0.455

Metric: T-FSIM


Prediction map
Pear. correl = 0.459
Spear. correl = 0.352
RMSE = 0.189
Likelihood = -0.368

Metric: T-VSI


Prediction map
Pear. correl = 0.498
Spear. correl = 0.464
RMSE = 0.154
Likelihood = -0.381

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.596
Spear. correl = 0.687
RMSE = 0.136
Likelihood = -0.131

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.468
Spear. correl = 0.215
RMSE = 0.18
Likelihood = -0.263

Metric: CNN


Prediction map
Pear. correl = 0.476
Spear. correl = 0.702
RMSE = 0.105
Likelihood = -0.263

photomatix_setup3_complex_s: lev=1 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 100 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.528
Spear. correl = 0.492
RMSE = 0.282
Likelihood = -0.165

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.564
Spear. correl = 0.475
RMSE = 0.254
Likelihood = -0.137

Metric: T-sCIELab


Prediction map
Pear. correl = 0.519
Spear. correl = 0.5
RMSE = 0.357
Likelihood = -0.208

Metric: T-SSIM


Prediction map
Pear. correl = 0.479
Spear. correl = 0.469
RMSE = 0.343
Likelihood = -0.233

Metric: T-FSIM


Prediction map
Pear. correl = 0.602
Spear. correl = 0.538
RMSE = 0.241
Likelihood = -0.138

Metric: T-VSI


Prediction map
Pear. correl = 0.603
Spear. correl = 0.595
RMSE = 0.231
Likelihood = -0.104

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.531
Spear. correl = 0.567
RMSE = 0.374
Likelihood = -0.189

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.586
Spear. correl = 0.46
RMSE = 0.282
Likelihood = -0.174

Metric: CNN


Prediction map
Pear. correl = 0.619
Spear. correl = 0.58
RMSE = 0.252
Likelihood = -0.136

photomatix_setup3_handheld_s: lev=1 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 100 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.447
Spear. correl = 0.357
RMSE = 0.228
Likelihood = -0.191

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.422
Spear. correl = 0.148
RMSE = 0.206
Likelihood = -0.212

Metric: T-sCIELab


Prediction map
Pear. correl = 0.379
Spear. correl = 0.175
RMSE = 0.3
Likelihood = -0.265

Metric: T-SSIM


Prediction map
Pear. correl = 0.439
Spear. correl = 0.41
RMSE = 0.36
Likelihood = -0.262

Metric: T-FSIM


Prediction map
Pear. correl = 0.52
Spear. correl = 0.359
RMSE = 0.217
Likelihood = -0.187

Metric: T-VSI


Prediction map
Pear. correl = 0.543
Spear. correl = 0.447
RMSE = 0.196
Likelihood = -0.15

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.421
Spear. correl = 0.381
RMSE = 0.359
Likelihood = -0.226

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.355
Spear. correl = 0.181
RMSE = 0.325
Likelihood = -0.287

Metric: CNN


Prediction map
Pear. correl = 0.515
Spear. correl = 0.515
RMSE = 0.197
Likelihood = -0.198

photomatix_setup3_lolm_s: lev=1 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 100 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.525
Spear. correl = 0.398
RMSE = 0.298
Likelihood = -0.243

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.547
Spear. correl = 0.457
RMSE = 0.206
Likelihood = -0.195

Metric: T-sCIELab


Prediction map
Pear. correl = 0.538
Spear. correl = 0.445
RMSE = 0.406
Likelihood = -0.257

Metric: T-SSIM


Prediction map
Pear. correl = 0.543
Spear. correl = 0.572
RMSE = 0.466
Likelihood = -0.294

Metric: T-FSIM


Prediction map
Pear. correl = 0.509
Spear. correl = 0.39
RMSE = 0.329
Likelihood = -0.295

Metric: T-VSI


Prediction map
Pear. correl = 0.62
Spear. correl = 0.564
RMSE = 0.176
Likelihood = -0.229

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.524
Spear. correl = 0.501
RMSE = 0.465
Likelihood = -0.26

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.649
Spear. correl = 0.521
RMSE = 0.305
Likelihood = -0.229

Metric: CNN


Prediction map
Pear. correl = 0.636
Spear. correl = 0.525
RMSE = 0.218
Likelihood = -0.173

photomatix_setup4_complex_s: lev=1 ppd=60

Observer marking

Cross-validation fold: 1
No. of observers: 16
Peak luminance: 100 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.323
Spear. correl = 0.347
RMSE = 0.182
Likelihood = -0.0284

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.351
Spear. correl = 0.397
RMSE = 0.161
Likelihood = -0.000818

Metric: T-sCIELab


Prediction map
Pear. correl = 0.379
Spear. correl = 0.535
RMSE = 0.353
Likelihood = -0.0788

Metric: T-SSIM


Prediction map
Pear. correl = 0.286
Spear. correl = 0.351
RMSE = 0.221
Likelihood = -0.0682

Metric: T-FSIM


Prediction map
Pear. correl = 0.401
Spear. correl = 0.326
RMSE = 0.223
Likelihood = -0.0369

Metric: T-VSI


Prediction map
Pear. correl = 0.42
Spear. correl = 0.391
RMSE = 0.213
Likelihood = -0.0352

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.363
Spear. correl = 0.527
RMSE = 0.372
Likelihood = -0.119

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.598
Spear. correl = 0.507
RMSE = 0.288
Likelihood = -0.00646

Metric: CNN


Prediction map
Pear. correl = 0.441
Spear. correl = 0.584
RMSE = 0.262
Likelihood = 0.00185

photomatix_setup4_lolm_s: lev=1 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 100 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.315
Spear. correl = 0.196
RMSE = 0.241
Likelihood = -0.243

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.704
Spear. correl = 0.478
RMSE = 0.172
Likelihood = -0.139

Metric: T-sCIELab


Prediction map
Pear. correl = 0.773
Spear. correl = 0.517
RMSE = 0.183
Likelihood = -0.112

Metric: T-SSIM


Prediction map
Pear. correl = 0.482
Spear. correl = 0.39
RMSE = 0.272
Likelihood = -0.221

Metric: T-FSIM


Prediction map
Pear. correl = 0.676
Spear. correl = 0.524
RMSE = 0.181
Likelihood = -0.0629

Metric: T-VSI


Prediction map
Pear. correl = 0.694
Spear. correl = 0.542
RMSE = 0.173
Likelihood = -0.0814

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.617
Spear. correl = 0.39
RMSE = 0.264
Likelihood = -0.205

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.858
Spear. correl = 0.707
RMSE = 0.187
Likelihood = 0.0507

Metric: CNN


Prediction map
Pear. correl = 0.834
Spear. correl = 0.589
RMSE = 0.134
Likelihood = -0.0285

photoshop_setup1_complex_s: lev=1 ppd=60

Observer marking

Cross-validation fold: 5
No. of observers: 16
Peak luminance: 100 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.54
Spear. correl = 0.678
RMSE = 0.131
Likelihood = -0.168

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.196
Spear. correl = 0.413
RMSE = 0.156
Likelihood = -0.341

Metric: T-sCIELab


Prediction map
Pear. correl = 0.283
Spear. correl = 0.605
RMSE = 0.179
Likelihood = -0.226

Metric: T-SSIM


Prediction map
Pear. correl = 0.737
Spear. correl = 0.766
RMSE = 0.303
Likelihood = -0.0695

Metric: T-FSIM


Prediction map
Pear. correl = 0.4
Spear. correl = 0.566
RMSE = 0.167
Likelihood = -0.26

Metric: T-VSI


Prediction map
Pear. correl = 0.401
Spear. correl = 0.594
RMSE = 0.174
Likelihood = -0.249

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.548
Spear. correl = 0.683
RMSE = 0.211
Likelihood = -0.145

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.184
Spear. correl = 0.287
RMSE = 0.208
Likelihood = -0.365

Metric: CNN


Prediction map
Pear. correl = 0.628
Spear. correl = 0.778
RMSE = 0.251
Likelihood = -0.0634

photoshop_setup1_lolm_s: lev=1 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 100 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.673
Spear. correl = 0.719
RMSE = 0.102
Likelihood = -0.178

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.371
Spear. correl = 0.318
RMSE = 0.136
Likelihood = -0.348

Metric: T-sCIELab


Prediction map
Pear. correl = 0.586
Spear. correl = 0.681
RMSE = 0.115
Likelihood = -0.255

Metric: T-SSIM


Prediction map
Pear. correl = 0.678
Spear. correl = 0.741
RMSE = 0.293
Likelihood = -0.0168

Metric: T-FSIM


Prediction map
Pear. correl = 0.519
Spear. correl = 0.438
RMSE = 0.138
Likelihood = -0.281

Metric: T-VSI


Prediction map
Pear. correl = 0.52
Spear. correl = 0.36
RMSE = 0.128
Likelihood = -0.315

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.682
Spear. correl = 0.712
RMSE = 0.1
Likelihood = -0.16

Metric: T-HDR-VDP


Prediction map
Pear. correl = -0.0527
Spear. correl = -0.11
RMSE = 0.158
Likelihood = -0.437

Metric: CNN


Prediction map
Pear. correl = 0.751
Spear. correl = 0.742
RMSE = 0.0934
Likelihood = -0.0871

photoshop_setup3_complex_s: lev=1 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 100 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.561
Spear. correl = 0.018
RMSE = 0.239
Likelihood = -0.224

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.715
Spear. correl = 0.0854
RMSE = 0.137
Likelihood = -0.089

Metric: T-sCIELab


Prediction map
Pear. correl = 0.6
Spear. correl = 0.0679
RMSE = 0.264
Likelihood = -0.235

Metric: T-SSIM


Prediction map
Pear. correl = 0.131
Spear. correl = -0.169
RMSE = 0.428
Likelihood = -0.438

Metric: T-FSIM


Prediction map
Pear. correl = 0.794
Spear. correl = 0.336
RMSE = 0.156
Likelihood = -0.0893

Metric: T-VSI


Prediction map
Pear. correl = 0.805
Spear. correl = 0.355
RMSE = 0.146
Likelihood = -0.0689

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.518
Spear. correl = 0.0295
RMSE = 0.37
Likelihood = -0.305

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.767
Spear. correl = 0.0597
RMSE = 0.193
Likelihood = -0.117

Metric: CNN


Prediction map
Pear. correl = 0.773
Spear. correl = 0.497
RMSE = 0.188
Likelihood = -0.00895

photoshop_setup3_handheld_s: lev=1 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 100 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.692
Spear. correl = 0.321
RMSE = 0.168
Likelihood = -0.2

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.734
Spear. correl = 0.267
RMSE = 0.153
Likelihood = -0.172

Metric: T-sCIELab


Prediction map
Pear. correl = 0.683
Spear. correl = 0.26
RMSE = 0.21
Likelihood = -0.181

Metric: T-SSIM


Prediction map
Pear. correl = 0.633
Spear. correl = 0.36
RMSE = 0.237
Likelihood = -0.225

Metric: T-FSIM


Prediction map
Pear. correl = 0.649
Spear. correl = 0.445
RMSE = 0.265
Likelihood = -0.177

Metric: T-VSI


Prediction map
Pear. correl = 0.685
Spear. correl = 0.49
RMSE = 0.188
Likelihood = -0.153

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.689
Spear. correl = 0.419
RMSE = 0.234
Likelihood = -0.171

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.61
Spear. correl = 0.178
RMSE = 0.256
Likelihood = -0.213

Metric: CNN


Prediction map
Pear. correl = 0.723
Spear. correl = 0.394
RMSE = 0.189
Likelihood = -0.137

photoshop_setup4_complex_s: lev=1 ppd=60

Observer marking

Cross-validation fold: 3
No. of observers: 16
Peak luminance: 100 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.358
Spear. correl = 0.0186
RMSE = 0.226
Likelihood = -0.0833

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.596
Spear. correl = 0.0734
RMSE = 0.118
Likelihood = 0.111

Metric: T-sCIELab


Prediction map
Pear. correl = 0.559
Spear. correl = 0.319
RMSE = 0.286
Likelihood = -0.0663

Metric: T-SSIM


Prediction map
Pear. correl = 0.302
Spear. correl = -0.00701
RMSE = 0.312
Likelihood = -0.173

Metric: T-FSIM


Prediction map
Pear. correl = 0.687
Spear. correl = 0.317
RMSE = 0.127
Likelihood = 0.198

Metric: T-VSI


Prediction map
Pear. correl = 0.733
Spear. correl = 0.259
RMSE = 0.107
Likelihood = 0.183

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.495
Spear. correl = 0.341
RMSE = 0.369
Likelihood = -0.19

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.505
Spear. correl = 0.378
RMSE = 0.258
Likelihood = 0.134

Metric: CNN


Prediction map
Pear. correl = 0.824
Spear. correl = 0.416
RMSE = 0.0829
Likelihood = 0.239

photoshop_setup4_lolm_s: lev=1 ppd=60

Observer marking

Cross-validation fold: 2
No. of observers: 16
Peak luminance: 100 cd/m2

Metric: T-ABS


Prediction map
Pear. correl = 0.0427
Spear. correl = 0.0159
RMSE = 0.138
Likelihood = 0.115

Metric: T-CIEDE2000


Prediction map
Pear. correl = 0.139
Spear. correl = 0.0505
RMSE = 0.0705
Likelihood = 0.25

Metric: T-sCIELab


Prediction map
Pear. correl = 0.146
Spear. correl = 0.064
RMSE = 0.111
Likelihood = 0.191

Metric: T-SSIM


Prediction map
Pear. correl = 0.0252
Spear. correl = -0.0972
RMSE = 0.242
Likelihood = 0.0291

Metric: T-FSIM


Prediction map
Pear. correl = 0.344
Spear. correl = -0.00467
RMSE = 0.118
Likelihood = 0.263

Metric: T-VSI


Prediction map
Pear. correl = 0.465
Spear. correl = -0.0466
RMSE = 0.0762
Likelihood = 0.287

Metric: T-Butteraugli


Prediction map
Pear. correl = 0.133
Spear. correl = 0.133
RMSE = 0.183
Likelihood = 0.0781

Metric: T-HDR-VDP


Prediction map
Pear. correl = 0.49
Spear. correl = -0.0137
RMSE = 0.066
Likelihood = 0.281

Metric: CNN


Prediction map
Pear. correl = 0.605
Spear. correl = -0.0261
RMSE = 0.0385
Likelihood = 0.323