Dataset: cgibr

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

00_FairyCollection: 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 = 0.33 Spear. correl = 0.188 RMSE = 0.229 Likelihood = -0.129	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.341 Spear. correl = 0.165 RMSE = 0.133 Likelihood = -0.112	Metric: T-sCIELab Prediction map Pear. correl = 0.347 Spear. correl = 0.238 RMSE = 0.325 Likelihood = -0.162	Metric: T-SSIM Prediction map Pear. correl = 0.324 Spear. correl = 0.22 RMSE = 0.307 Likelihood = -0.283	Metric: T-FSIM Prediction map Pear. correl = 0.284 Spear. correl = 0.177 RMSE = 0.345 Likelihood = -0.188	Metric: T-VSI Prediction map Pear. correl = 0.282 Spear. correl = 0.169 RMSE = 0.347 Likelihood = -0.202	Metric: T-Butteraugli Prediction map Pear. correl = 0.537 Spear. correl = 0.43 RMSE = 0.383 Likelihood = -0.14	Metric: T-HDR-VDP Prediction map Pear. correl = 0.41 Spear. correl = 0.357 RMSE = 0.436 Likelihood = -0.2	Metric: CNN Prediction map Pear. correl = 0.438 Spear. correl = 0.395 RMSE = 0.381 Likelihood = -0.145
ArtGallery3: 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 = 0.293 Spear. correl = 0.231 RMSE = 0.17 Likelihood = 0.139	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.328 Spear. correl = 0.226 RMSE = 0.108 Likelihood = 0.194	Metric: T-sCIELab Prediction map Pear. correl = 0.47 Spear. correl = 0.319 RMSE = 0.106 Likelihood = 0.238	Metric: T-SSIM Prediction map Pear. correl = 0.349 Spear. correl = 0.301 RMSE = 0.181 Likelihood = 0.211	Metric: T-FSIM Prediction map Pear. correl = 0.538 Spear. correl = 0.302 RMSE = 0.147 Likelihood = 0.237	Metric: T-VSI Prediction map Pear. correl = 0.528 Spear. correl = 0.267 RMSE = 0.145 Likelihood = 0.23	Metric: T-Butteraugli Prediction map Pear. correl = 0.652 Spear. correl = 0.47 RMSE = 0.12 Likelihood = 0.245	Metric: T-HDR-VDP Prediction map Pear. correl = 0.526 Spear. correl = 0.418 RMSE = 0.229 Likelihood = 0.12	Metric: CNN Prediction map Pear. correl = 0.675 Spear. correl = 0.44 RMSE = 0.152 Likelihood = 0.267
Car: 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 = 0.627 Spear. correl = 0.477 RMSE = 0.168 Likelihood = -0.405	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.551 Spear. correl = 0.352 RMSE = 0.175 Likelihood = -0.494	Metric: T-sCIELab Prediction map Pear. correl = 0.635 Spear. correl = 0.738 RMSE = 0.184 Likelihood = -0.467	Metric: T-SSIM Prediction map Pear. correl = 0.663 Spear. correl = 0.724 RMSE = 0.193 Likelihood = -0.448	Metric: T-FSIM Prediction map Pear. correl = 0.705 Spear. correl = 0.561 RMSE = 0.189 Likelihood = -0.413	Metric: T-VSI Prediction map Pear. correl = 0.717 Spear. correl = 0.572 RMSE = 0.183 Likelihood = -0.391	Metric: T-Butteraugli Prediction map Pear. correl = 0.79 Spear. correl = 0.812 RMSE = 0.182 Likelihood = -0.299	Metric: T-HDR-VDP Prediction map Pear. correl = 0.83 Spear. correl = 0.75 RMSE = 0.237 Likelihood = -0.185	Metric: CNN Prediction map Pear. correl = 0.791 Spear. correl = 0.766 RMSE = 0.152 Likelihood = -0.349
Classroom: 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 = 0.159 Spear. correl = 0.159 RMSE = 0.305 Likelihood = -0.274	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.138 Spear. correl = 0.154 RMSE = 0.208 Likelihood = -0.333	Metric: T-sCIELab Prediction map Pear. correl = 0.154 Spear. correl = 0.165 RMSE = 0.36 Likelihood = -0.502	Metric: T-SSIM Prediction map Pear. correl = 0.141 Spear. correl = 0.173 RMSE = 0.401 Likelihood = -0.933	Metric: T-FSIM Prediction map Pear. correl = 0.209 Spear. correl = 0.243 RMSE = 0.501 Likelihood = -0.519	Metric: T-VSI Prediction map Pear. correl = 0.195 Spear. correl = 0.218 RMSE = 0.444 Likelihood = -0.547	Metric: T-Butteraugli Prediction map Pear. correl = 0.256 Spear. correl = 0.332 RMSE = 0.505 Likelihood = -0.322	Metric: T-HDR-VDP Prediction map Pear. correl = 0.191 Spear. correl = 0.287 RMSE = 0.637 Likelihood = -0.375	Metric: CNN Prediction map Pear. correl = 0.265 Spear. correl = 0.341 RMSE = 0.228 Likelihood = -0.648
Furniture1: 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 = 0.673 Spear. correl = 0.509 RMSE = 0.153 Likelihood = -0.0268	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.62 Spear. correl = 0.507 RMSE = 0.169 Likelihood = -0.0442	Metric: T-sCIELab Prediction map Pear. correl = 0.679 Spear. correl = 0.474 RMSE = 0.153 Likelihood = -0.0714	Metric: T-SSIM Prediction map Pear. correl = 0.713 Spear. correl = 0.771 RMSE = 0.147 Likelihood = -0.0825	Metric: T-FSIM Prediction map Pear. correl = 0.649 Spear. correl = 0.255 RMSE = 0.181 Likelihood = -0.114	Metric: T-VSI Prediction map Pear. correl = 0.806 Spear. correl = 0.545 RMSE = 0.126 Likelihood = -0.0323	Metric: T-Butteraugli Prediction map Pear. correl = 0.907 Spear. correl = 0.711 RMSE = 0.0955 Likelihood = 0.0511	Metric: T-HDR-VDP Prediction map Pear. correl = 0.871 Spear. correl = 0.696 RMSE = 0.134 Likelihood = 0.0825	Metric: CNN Prediction map Pear. correl = 0.713 Spear. correl = 0.691 RMSE = 0.144 Likelihood = 0.00213
Furniture3: 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 = 0.638 Spear. correl = 0.429 RMSE = 0.169 Likelihood = -0.0862	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.703 Spear. correl = 0.454 RMSE = 0.156 Likelihood = -0.0844	Metric: T-sCIELab Prediction map Pear. correl = 0.635 Spear. correl = 0.424 RMSE = 0.181 Likelihood = -0.117	Metric: T-SSIM Prediction map Pear. correl = 0.743 Spear. correl = 0.553 RMSE = 0.163 Likelihood = -0.116	Metric: T-FSIM Prediction map Pear. correl = 0.726 Spear. correl = 0.417 RMSE = 0.175 Likelihood = -0.116	Metric: T-VSI Prediction map Pear. correl = 0.689 Spear. correl = 0.489 RMSE = 0.174 Likelihood = -0.101	Metric: T-Butteraugli Prediction map Pear. correl = 0.836 Spear. correl = 0.696 RMSE = 0.157 Likelihood = 0.0264	Metric: T-HDR-VDP Prediction map Pear. correl = 0.651 Spear. correl = 0.652 RMSE = 0.293 Likelihood = 0.00138	Metric: CNN Prediction map Pear. correl = 0.896 Spear. correl = 0.76 RMSE = 0.118 Likelihood = 0.0426