Dataset: aliasing

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

Attic_Aliasing: 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 = 0.558 Spear. correl = 0.421 RMSE = 0.24 Likelihood = -0.895	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.565 Spear. correl = 0.384 RMSE = 0.256 Likelihood = -0.909	Metric: T-sCIELab Prediction map Pear. correl = 0.614 Spear. correl = 0.529 RMSE = 0.24 Likelihood = -1.04	Metric: T-SSIM Prediction map Pear. correl = 0.686 Spear. correl = 0.644 RMSE = 0.216 Likelihood = -0.942	Metric: T-FSIM Prediction map Pear. correl = 0.681 Spear. correl = 0.577 RMSE = 0.202 Likelihood = -0.84	Metric: T-VSI Prediction map Pear. correl = 0.631 Spear. correl = 0.601 RMSE = 0.212 Likelihood = -0.853	Metric: T-Butteraugli Prediction map Pear. correl = 0.761 Spear. correl = 0.818 RMSE = 0.212 Likelihood = -0.833	Metric: T-HDR-VDP Prediction map Pear. correl = 0.674 Spear. correl = 0.815 RMSE = 0.195 Likelihood = -0.612	Metric: CNN Prediction map Pear. correl = 0.88 Spear. correl = 0.858 RMSE = 0.149 Likelihood = -0.385
Boat_Aliasing: 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 = 0.529 Spear. correl = 0.451 RMSE = 0.141 Likelihood = -0.214	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.509 Spear. correl = 0.43 RMSE = 0.142 Likelihood = -0.208	Metric: T-sCIELab Prediction map Pear. correl = 0.532 Spear. correl = 0.566 RMSE = 0.144 Likelihood = -0.246	Metric: T-SSIM Prediction map Pear. correl = 0.624 Spear. correl = 0.612 RMSE = 0.154 Likelihood = -0.239	Metric: T-FSIM Prediction map Pear. correl = 0.523 Spear. correl = 0.565 RMSE = 0.168 Likelihood = -0.229	Metric: T-VSI Prediction map Pear. correl = 0.561 Spear. correl = 0.556 RMSE = 0.17 Likelihood = -0.218	Metric: T-Butteraugli Prediction map Pear. correl = 0.54 Spear. correl = 0.755 RMSE = 0.143 Likelihood = -0.147	Metric: T-HDR-VDP Prediction map Pear. correl = 0.482 Spear. correl = 0.712 RMSE = 0.177 Likelihood = -0.109	Metric: CNN Prediction map Pear. correl = 0.689 Spear. correl = 0.758 RMSE = 0.175 Likelihood = -0.0599
Bootcamp_Aliasing: 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 = 0.333 Spear. correl = 0.356 RMSE = 0.0754 Likelihood = 0.178	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.347 Spear. correl = 0.357 RMSE = 0.0731 Likelihood = 0.169	Metric: T-sCIELab Prediction map Pear. correl = 0.371 Spear. correl = 0.445 RMSE = 0.0735 Likelihood = 0.174	Metric: T-SSIM Prediction map Pear. correl = 0.442 Spear. correl = 0.512 RMSE = 0.0936 Likelihood = 0.197	Metric: T-FSIM Prediction map Pear. correl = 0.368 Spear. correl = 0.508 RMSE = 0.0972 Likelihood = 0.208	Metric: T-VSI Prediction map Pear. correl = 0.402 Spear. correl = 0.516 RMSE = 0.0925 Likelihood = 0.216	Metric: T-Butteraugli Prediction map Pear. correl = 0.469 Spear. correl = 0.585 RMSE = 0.0718 Likelihood = 0.19	Metric: T-HDR-VDP Prediction map Pear. correl = 0.357 Spear. correl = 0.483 RMSE = 0.0722 Likelihood = 0.22	Metric: CNN Prediction map Pear. correl = 0.721 Spear. correl = 0.567 RMSE = 0.0832 Likelihood = 0.276
Castle_Aliasing: 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 = 0.403 Spear. correl = 0.392 RMSE = 0.128 Likelihood = -0.483	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.398 Spear. correl = 0.393 RMSE = 0.13 Likelihood = -0.502	Metric: T-sCIELab Prediction map Pear. correl = 0.51 Spear. correl = 0.659 RMSE = 0.124 Likelihood = -0.418	Metric: T-SSIM Prediction map Pear. correl = 0.527 Spear. correl = 0.639 RMSE = 0.139 Likelihood = -0.4	Metric: T-FSIM Prediction map Pear. correl = 0.494 Spear. correl = 0.672 RMSE = 0.125 Likelihood = -0.403	Metric: T-VSI Prediction map Pear. correl = 0.538 Spear. correl = 0.67 RMSE = 0.12 Likelihood = -0.388	Metric: T-Butteraugli Prediction map Pear. correl = 0.675 Spear. correl = 0.738 RMSE = 0.122 Likelihood = -0.469	Metric: T-HDR-VDP Prediction map Pear. correl = 0.694 Spear. correl = 0.7 RMSE = 0.0971 Likelihood = -0.304	Metric: CNN Prediction map Pear. correl = 0.73 Spear. correl = 0.696 RMSE = 0.112 Likelihood = -0.325
Classroom_Aliasing: 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 = 0.318 Spear. correl = 0.218 RMSE = 0.245 Likelihood = -0.726	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.325 Spear. correl = 0.192 RMSE = 0.261 Likelihood = -0.773	Metric: T-sCIELab Prediction map Pear. correl = 0.507 Spear. correl = 0.54 RMSE = 0.244 Likelihood = -0.856	Metric: T-SSIM Prediction map Pear. correl = 0.446 Spear. correl = 0.526 RMSE = 0.251 Likelihood = -0.922	Metric: T-FSIM Prediction map Pear. correl = 0.429 Spear. correl = 0.398 RMSE = 0.224 Likelihood = -0.658	Metric: T-VSI Prediction map Pear. correl = 0.403 Spear. correl = 0.363 RMSE = 0.231 Likelihood = -0.677	Metric: T-Butteraugli Prediction map Pear. correl = 0.551 Spear. correl = 0.718 RMSE = 0.239 Likelihood = -0.719	Metric: T-HDR-VDP Prediction map Pear. correl = 0.531 Spear. correl = 0.686 RMSE = 0.222 Likelihood = -0.643	Metric: CNN Prediction map Pear. correl = 0.656 Spear. correl = 0.693 RMSE = 0.196 Likelihood = -0.466
Flag_Aliasing: 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 = 0.609 Spear. correl = 0.393 RMSE = 0.154 Likelihood = -0.0416	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.558 Spear. correl = 0.346 RMSE = 0.158 Likelihood = -0.00912	Metric: T-sCIELab Prediction map Pear. correl = 0.599 Spear. correl = 0.4 RMSE = 0.151 Likelihood = 0.000455	Metric: T-SSIM Prediction map Pear. correl = 0.7 Spear. correl = 0.619 RMSE = 0.141 Likelihood = 0.0365	Metric: T-FSIM Prediction map Pear. correl = 0.554 Spear. correl = 0.323 RMSE = 0.173 Likelihood = -0.03	Metric: T-VSI Prediction map Pear. correl = 0.577 Spear. correl = 0.446 RMSE = 0.16 Likelihood = -0.0135	Metric: T-Butteraugli Prediction map Pear. correl = 0.638 Spear. correl = 0.595 RMSE = 0.146 Likelihood = 0.0298	Metric: T-HDR-VDP Prediction map Pear. correl = 0.589 Spear. correl = 0.63 RMSE = 0.152 Likelihood = 0.0674	Metric: CNN Prediction map Pear. correl = 0.857 Spear. correl = 0.711 RMSE = 0.115 Likelihood = 0.151
Hospital_Aliasing: 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 = 0.21 Spear. correl = 0.232 RMSE = 0.0342 Likelihood = 0.0483	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.182 Spear. correl = 0.226 RMSE = 0.0283 Likelihood = 0.0213	Metric: T-sCIELab Prediction map Pear. correl = 0.205 Spear. correl = 0.281 RMSE = 0.0295 Likelihood = 0.0298	Metric: T-SSIM Prediction map Pear. correl = 0.147 Spear. correl = 0.275 RMSE = 0.0455 Likelihood = 0.018	Metric: T-FSIM Prediction map Pear. correl = 0.228 Spear. correl = 0.357 RMSE = 0.0515 Likelihood = 0.103	Metric: T-VSI Prediction map Pear. correl = 0.226 Spear. correl = 0.36 RMSE = 0.0552 Likelihood = 0.1	Metric: T-Butteraugli Prediction map Pear. correl = 0.363 Spear. correl = 0.512 RMSE = 0.0251 Likelihood = 0.0841	Metric: T-HDR-VDP Prediction map Pear. correl = 0.404 Spear. correl = 0.561 RMSE = 0.0243 Likelihood = 0.141	Metric: CNN Prediction map Pear. correl = 0.335 Spear. correl = 0.53 RMSE = 0.0512 Likelihood = 0.222
Hospital_Aliasing: 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 = 0.398 Spear. correl = 0.397 RMSE = 0.125 Likelihood = -0.59	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.367 Spear. correl = 0.392 RMSE = 0.131 Likelihood = -0.628	Metric: T-sCIELab Prediction map Pear. correl = 0.418 Spear. correl = 0.507 RMSE = 0.125 Likelihood = -0.606	Metric: T-SSIM Prediction map Pear. correl = 0.384 Spear. correl = 0.555 RMSE = 0.127 Likelihood = -0.544	Metric: T-FSIM Prediction map Pear. correl = 0.492 Spear. correl = 0.612 RMSE = 0.121 Likelihood = -0.437	Metric: T-VSI Prediction map Pear. correl = 0.486 Spear. correl = 0.608 RMSE = 0.126 Likelihood = -0.445	Metric: T-Butteraugli Prediction map Pear. correl = 0.617 Spear. correl = 0.793 RMSE = 0.117 Likelihood = -0.464	Metric: T-HDR-VDP Prediction map Pear. correl = 0.429 Spear. correl = 0.723 RMSE = 0.111 Likelihood = -0.266	Metric: CNN Prediction map Pear. correl = 0.659 Spear. correl = 0.781 RMSE = 0.0969 Likelihood = -0.178
HotelRoom_Aliasing: 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 = 0.473 Spear. correl = 0.414 RMSE = 0.046 Likelihood = 0.236	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.463 Spear. correl = 0.414 RMSE = 0.0392 Likelihood = 0.226	Metric: T-sCIELab Prediction map Pear. correl = 0.384 Spear. correl = 0.497 RMSE = 0.0456 Likelihood = 0.225	Metric: T-SSIM Prediction map Pear. correl = 0.485 Spear. correl = 0.538 RMSE = 0.0812 Likelihood = 0.248	Metric: T-FSIM Prediction map Pear. correl = 0.394 Spear. correl = 0.559 RMSE = 0.066 Likelihood = 0.251	Metric: T-VSI Prediction map Pear. correl = 0.42 Spear. correl = 0.558 RMSE = 0.0659 Likelihood = 0.264	Metric: T-Butteraugli Prediction map Pear. correl = 0.606 Spear. correl = 0.61 RMSE = 0.0326 Likelihood = 0.256	Metric: T-HDR-VDP Prediction map Pear. correl = 0.619 Spear. correl = 0.519 RMSE = 0.033 Likelihood = 0.275	Metric: CNN Prediction map Pear. correl = 0.66 Spear. correl = 0.514 RMSE = 0.0653 Likelihood = 0.301
HotelRoom_Aliasing: 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 = 0.506 Spear. correl = 0.501 RMSE = 0.103 Likelihood = 0.0477	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.482 Spear. correl = 0.501 RMSE = 0.106 Likelihood = 0.0365	Metric: T-sCIELab Prediction map Pear. correl = 0.464 Spear. correl = 0.616 RMSE = 0.106 Likelihood = 0.0502	Metric: T-SSIM Prediction map Pear. correl = 0.575 Spear. correl = 0.67 RMSE = 0.118 Likelihood = 0.0906	Metric: T-FSIM Prediction map Pear. correl = 0.522 Spear. correl = 0.7 RMSE = 0.116 Likelihood = 0.099	Metric: T-VSI Prediction map Pear. correl = 0.558 Spear. correl = 0.697 RMSE = 0.111 Likelihood = 0.109	Metric: T-Butteraugli Prediction map Pear. correl = 0.597 Spear. correl = 0.748 RMSE = 0.0974 Likelihood = 0.111	Metric: T-HDR-VDP Prediction map Pear. correl = 0.549 Spear. correl = 0.659 RMSE = 0.0968 Likelihood = 0.148	Metric: CNN Prediction map Pear. correl = 0.769 Spear. correl = 0.681 RMSE = 0.11 Likelihood = 0.207
Lantern_Aliasing: 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 = 0.581 Spear. correl = 0.416 RMSE = 0.0913 Likelihood = 0.103	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.531 Spear. correl = 0.421 RMSE = 0.0955 Likelihood = 0.0982	Metric: T-sCIELab Prediction map Pear. correl = 0.615 Spear. correl = 0.527 RMSE = 0.0908 Likelihood = 0.105	Metric: T-SSIM Prediction map Pear. correl = 0.566 Spear. correl = 0.538 RMSE = 0.115 Likelihood = 0.12	Metric: T-FSIM Prediction map Pear. correl = 0.59 Spear. correl = 0.544 RMSE = 0.119 Likelihood = 0.14	Metric: T-VSI Prediction map Pear. correl = 0.551 Spear. correl = 0.494 RMSE = 0.106 Likelihood = 0.123	Metric: T-Butteraugli Prediction map Pear. correl = 0.805 Spear. correl = 0.68 RMSE = 0.0853 Likelihood = 0.136	Metric: T-HDR-VDP Prediction map Pear. correl = 0.775 Spear. correl = 0.666 RMSE = 0.0713 Likelihood = 0.181	Metric: CNN Prediction map Pear. correl = 0.768 Spear. correl = 0.675 RMSE = 0.0947 Likelihood = 0.217
MainHall_Aliasing: 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 = 0.272 Spear. correl = 0.169 RMSE = 0.0406 Likelihood = 0.323	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.275 Spear. correl = 0.17 RMSE = 0.0293 Likelihood = 0.325	Metric: T-sCIELab Prediction map Pear. correl = 0.421 Spear. correl = 0.304 RMSE = 0.0488 Likelihood = 0.337	Metric: T-SSIM Prediction map Pear. correl = 0.41 Spear. correl = 0.379 RMSE = 0.0854 Likelihood = 0.341	Metric: T-FSIM Prediction map Pear. correl = 0.194 Spear. correl = 0.294 RMSE = 0.0545 Likelihood = 0.331	Metric: T-VSI Prediction map Pear. correl = 0.238 Spear. correl = 0.29 RMSE = 0.0568 Likelihood = 0.335	Metric: T-Butteraugli Prediction map Pear. correl = 0.317 Spear. correl = 0.429 RMSE = 0.0228 Likelihood = 0.345	Metric: T-HDR-VDP Prediction map Pear. correl = 0.269 Spear. correl = 0.414 RMSE = 0.0256 Likelihood = 0.357	Metric: CNN Prediction map Pear. correl = 0.69 Spear. correl = 0.354 RMSE = 0.0557 Likelihood = 0.354
MainHall_Aliasing: 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 = 0.424 Spear. correl = 0.295 RMSE = 0.0847 Likelihood = 0.12	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.432 Spear. correl = 0.295 RMSE = 0.0841 Likelihood = 0.114	Metric: T-sCIELab Prediction map Pear. correl = 0.592 Spear. correl = 0.432 RMSE = 0.0795 Likelihood = 0.136	Metric: T-SSIM Prediction map Pear. correl = 0.588 Spear. correl = 0.546 RMSE = 0.112 Likelihood = 0.164	Metric: T-FSIM Prediction map Pear. correl = 0.434 Spear. correl = 0.482 RMSE = 0.0978 Likelihood = 0.149	Metric: T-VSI Prediction map Pear. correl = 0.476 Spear. correl = 0.468 RMSE = 0.0958 Likelihood = 0.156	Metric: T-Butteraugli Prediction map Pear. correl = 0.532 Spear. correl = 0.651 RMSE = 0.0809 Likelihood = 0.169	Metric: T-HDR-VDP Prediction map Pear. correl = 0.421 Spear. correl = 0.601 RMSE = 0.0829 Likelihood = 0.2	Metric: CNN Prediction map Pear. correl = 0.884 Spear. correl = 0.567 RMSE = 0.0774 Likelihood = 0.253
MainHall_Aliasing: 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 = 0.497 Spear. correl = 0.372 RMSE = 0.136 Likelihood = -0.0938	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.503 Spear. correl = 0.372 RMSE = 0.139 Likelihood = -0.106	Metric: T-sCIELab Prediction map Pear. correl = 0.634 Spear. correl = 0.552 RMSE = 0.122 Likelihood = -0.07	Metric: T-SSIM Prediction map Pear. correl = 0.677 Spear. correl = 0.631 RMSE = 0.147 Likelihood = -0.0199	Metric: T-FSIM Prediction map Pear. correl = 0.589 Spear. correl = 0.624 RMSE = 0.14 Likelihood = -0.0212	Metric: T-VSI Prediction map Pear. correl = 0.615 Spear. correl = 0.59 RMSE = 0.136 Likelihood = -0.016	Metric: T-Butteraugli Prediction map Pear. correl = 0.638 Spear. correl = 0.74 RMSE = 0.12 Likelihood = 0.00896	Metric: T-HDR-VDP Prediction map Pear. correl = 0.634 Spear. correl = 0.691 RMSE = 0.116 Likelihood = 0.074	Metric: CNN Prediction map Pear. correl = 0.876 Spear. correl = 0.664 RMSE = 0.122 Likelihood = 0.132
MedicalCenter_Aliasing: 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 = 0.182 Spear. correl = 0.147 RMSE = 0.0551 Likelihood = 0.316	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.177 Spear. correl = 0.146 RMSE = 0.0453 Likelihood = 0.321	Metric: T-sCIELab Prediction map Pear. correl = 0.157 Spear. correl = 0.208 RMSE = 0.0664 Likelihood = 0.317	Metric: T-SSIM Prediction map Pear. correl = 0.219 Spear. correl = 0.246 RMSE = 0.0955 Likelihood = 0.315	Metric: T-FSIM Prediction map Pear. correl = 0.36 Spear. correl = 0.27 RMSE = 0.0842 Likelihood = 0.323	Metric: T-VSI Prediction map Pear. correl = 0.318 Spear. correl = 0.269 RMSE = 0.0796 Likelihood = 0.323	Metric: T-Butteraugli Prediction map Pear. correl = 0.368 Spear. correl = 0.272 RMSE = 0.0391 Likelihood = 0.332	Metric: T-HDR-VDP Prediction map Pear. correl = 0.147 Spear. correl = 0.212 RMSE = 0.0706 Likelihood = 0.313	Metric: CNN Prediction map Pear. correl = 0.587 Spear. correl = 0.254 RMSE = 0.0616 Likelihood = 0.33
MedicalCenter_Aliasing: 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 = 0.434 Spear. correl = 0.388 RMSE = 0.127 Likelihood = -0.39	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.428 Spear. correl = 0.387 RMSE = 0.13 Likelihood = -0.411	Metric: T-sCIELab Prediction map Pear. correl = 0.422 Spear. correl = 0.54 RMSE = 0.129 Likelihood = -0.367	Metric: T-SSIM Prediction map Pear. correl = 0.462 Spear. correl = 0.55 RMSE = 0.146 Likelihood = -0.334	Metric: T-FSIM Prediction map Pear. correl = 0.552 Spear. correl = 0.587 RMSE = 0.134 Likelihood = -0.308	Metric: T-VSI Prediction map Pear. correl = 0.537 Spear. correl = 0.58 RMSE = 0.132 Likelihood = -0.318	Metric: T-Butteraugli Prediction map Pear. correl = 0.536 Spear. correl = 0.656 RMSE = 0.12 Likelihood = -0.312	Metric: T-HDR-VDP Prediction map Pear. correl = 0.474 Spear. correl = 0.615 RMSE = 0.133 Likelihood = -0.16	Metric: CNN Prediction map Pear. correl = 0.734 Spear. correl = 0.613 RMSE = 0.114 Likelihood = -0.175
ModernRoom_Aliasing: 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 = 0.523 Spear. correl = 0.397 RMSE = 0.166 Likelihood = -0.441	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.518 Spear. correl = 0.327 RMSE = 0.173 Likelihood = -0.448	Metric: T-sCIELab Prediction map Pear. correl = 0.448 Spear. correl = 0.522 RMSE = 0.176 Likelihood = -0.458	Metric: T-SSIM Prediction map Pear. correl = 0.547 Spear. correl = 0.697 RMSE = 0.179 Likelihood = -0.407	Metric: T-FSIM Prediction map Pear. correl = 0.642 Spear. correl = 0.59 RMSE = 0.161 Likelihood = -0.344	Metric: T-VSI Prediction map Pear. correl = 0.648 Spear. correl = 0.63 RMSE = 0.157 Likelihood = -0.353	Metric: T-Butteraugli Prediction map Pear. correl = 0.602 Spear. correl = 0.791 RMSE = 0.15 Likelihood = -0.251	Metric: T-HDR-VDP Prediction map Pear. correl = 0.439 Spear. correl = 0.67 RMSE = 0.175 Likelihood = -0.21	Metric: CNN Prediction map Pear. correl = 0.753 Spear. correl = 0.804 RMSE = 0.149 Likelihood = -0.102
Reception_Aliasing: 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 = 0.643 Spear. correl = 0.468 RMSE = 0.0393 Likelihood = 0.249	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.647 Spear. correl = 0.469 RMSE = 0.039 Likelihood = 0.239	Metric: T-sCIELab Prediction map Pear. correl = 0.6 Spear. correl = 0.605 RMSE = 0.0428 Likelihood = 0.26	Metric: T-SSIM Prediction map Pear. correl = 0.656 Spear. correl = 0.661 RMSE = 0.0644 Likelihood = 0.282	Metric: T-FSIM Prediction map Pear. correl = 0.554 Spear. correl = 0.655 RMSE = 0.0553 Likelihood = 0.279	Metric: T-VSI Prediction map Pear. correl = 0.601 Spear. correl = 0.647 RMSE = 0.0536 Likelihood = 0.291	Metric: T-Butteraugli Prediction map Pear. correl = 0.761 Spear. correl = 0.707 RMSE = 0.0397 Likelihood = 0.255	Metric: T-HDR-VDP Prediction map Pear. correl = 0.761 Spear. correl = 0.607 RMSE = 0.0333 Likelihood = 0.298	Metric: CNN Prediction map Pear. correl = 0.736 Spear. correl = 0.635 RMSE = 0.0676 Likelihood = 0.345
Reception_Aliasing: 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 = 0.587 Spear. correl = 0.474 RMSE = 0.136 Likelihood = -0.195	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.571 Spear. correl = 0.474 RMSE = 0.142 Likelihood = -0.205	Metric: T-sCIELab Prediction map Pear. correl = 0.613 Spear. correl = 0.631 RMSE = 0.127 Likelihood = -0.181	Metric: T-SSIM Prediction map Pear. correl = 0.701 Spear. correl = 0.692 RMSE = 0.115 Likelihood = -0.132	Metric: T-FSIM Prediction map Pear. correl = 0.643 Spear. correl = 0.727 RMSE = 0.12 Likelihood = -0.133	Metric: T-VSI Prediction map Pear. correl = 0.671 Spear. correl = 0.701 RMSE = 0.116 Likelihood = -0.127	Metric: T-Butteraugli Prediction map Pear. correl = 0.602 Spear. correl = 0.836 RMSE = 0.137 Likelihood = -0.132	Metric: T-HDR-VDP Prediction map Pear. correl = 0.655 Spear. correl = 0.799 RMSE = 0.118 Likelihood = -0.000351	Metric: CNN Prediction map Pear. correl = 0.856 Spear. correl = 0.837 RMSE = 0.0968 Likelihood = 0.0906
Ship_Aliasing: 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 = 0.072 Spear. correl = 0.118 RMSE = 0.0332 Likelihood = 0.392	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.064 Spear. correl = 0.117 RMSE = 0.0222 Likelihood = 0.397	Metric: T-sCIELab Prediction map Pear. correl = 0.0868 Spear. correl = 0.126 RMSE = 0.0458 Likelihood = 0.392	Metric: T-SSIM Prediction map Pear. correl = 0.0915 Spear. correl = 0.128 RMSE = 0.0946 Likelihood = 0.372	Metric: T-FSIM Prediction map Pear. correl = 0.0422 Spear. correl = 0.14 RMSE = 0.0526 Likelihood = 0.39	Metric: T-VSI Prediction map Pear. correl = 0.0454 Spear. correl = 0.142 RMSE = 0.0579 Likelihood = 0.388	Metric: T-Butteraugli Prediction map Pear. correl = 0.0529 Spear. correl = 0.131 RMSE = 0.0144 Likelihood = 0.399	Metric: T-HDR-VDP Prediction map Pear. correl = -0.0281 Spear. correl = 0.101 RMSE = 0.0689 Likelihood = 0.369	Metric: CNN Prediction map Pear. correl = 0.185 Spear. correl = 0.137 RMSE = 0.0845 Likelihood = 0.359
Ship_Aliasing: 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 = 0.407 Spear. correl = 0.352 RMSE = 0.0635 Likelihood = 0.1	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.401 Spear. correl = 0.352 RMSE = 0.0628 Likelihood = 0.0909	Metric: T-sCIELab Prediction map Pear. correl = 0.485 Spear. correl = 0.498 RMSE = 0.0677 Likelihood = 0.122	Metric: T-SSIM Prediction map Pear. correl = 0.547 Spear. correl = 0.542 RMSE = 0.115 Likelihood = 0.148	Metric: T-FSIM Prediction map Pear. correl = 0.323 Spear. correl = 0.547 RMSE = 0.0844 Likelihood = 0.134	Metric: T-VSI Prediction map Pear. correl = 0.348 Spear. correl = 0.542 RMSE = 0.0892 Likelihood = 0.135	Metric: T-Butteraugli Prediction map Pear. correl = 0.423 Spear. correl = 0.622 RMSE = 0.0627 Likelihood = 0.135	Metric: T-HDR-VDP Prediction map Pear. correl = 0.136 Spear. correl = 0.518 RMSE = 0.0952 Likelihood = 0.169	Metric: CNN Prediction map Pear. correl = 0.741 Spear. correl = 0.607 RMSE = 0.141 Likelihood = 0.245
Ship_Aliasing: 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 = 0.487 Spear. correl = 0.389 RMSE = 0.145 Likelihood = -0.296	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.499 Spear. correl = 0.39 RMSE = 0.148 Likelihood = -0.303	Metric: T-sCIELab Prediction map Pear. correl = 0.606 Spear. correl = 0.574 RMSE = 0.128 Likelihood = -0.259	Metric: T-SSIM Prediction map Pear. correl = 0.706 Spear. correl = 0.597 RMSE = 0.133 Likelihood = -0.212	Metric: T-FSIM Prediction map Pear. correl = 0.548 Spear. correl = 0.607 RMSE = 0.137 Likelihood = -0.226	Metric: T-VSI Prediction map Pear. correl = 0.583 Spear. correl = 0.592 RMSE = 0.136 Likelihood = -0.227	Metric: T-Butteraugli Prediction map Pear. correl = 0.617 Spear. correl = 0.764 RMSE = 0.138 Likelihood = -0.201	Metric: T-HDR-VDP Prediction map Pear. correl = 0.334 Spear. correl = 0.683 RMSE = 0.17 Likelihood = -0.042	Metric: CNN Prediction map Pear. correl = 0.854 Spear. correl = 0.778 RMSE = 0.158 Likelihood = 0.0814