Dataset: perceptionpatterns

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

ref_edge_luminance: 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 = 0.282 Spear. correl = 0.0298 RMSE = 0.168 Likelihood = -0.76	Metric: T-CIEDE2000 Prediction map Pear. correl = -0.13 Spear. correl = 0.124 RMSE = 0.161 Likelihood = -0.547	Metric: T-sCIELab Prediction map Pear. correl = -0.0261 Spear. correl = 0.134 RMSE = 0.146 Likelihood = -0.397	Metric: T-SSIM Prediction map Pear. correl = 0.362 Spear. correl = 0.507 RMSE = 0.194 Likelihood = -1.98	Metric: T-FSIM Prediction map Pear. correl = 0.735 Spear. correl = 0.35 RMSE = 0.146 Likelihood = -1.69	Metric: T-VSI Prediction map Pear. correl = 0.116 Spear. correl = 0.597 RMSE = 0.365 Likelihood = -1.56	Metric: T-Butteraugli Prediction map Pear. correl = 0.502 Spear. correl = 0.477 RMSE = 0.156 Likelihood = -0.831	Metric: T-HDR-VDP Prediction map Pear. correl = 0.644 Spear. correl = 0.363 RMSE = 0.168 Likelihood = -1.41	Metric: CNN Prediction map Pear. correl = 0.706 Spear. correl = 0.114 RMSE = 0.186 Likelihood = -1.89
ref_edge_luminance: 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 = 0.476 Spear. correl = 0.167 RMSE = 0.2 Likelihood = -0.892	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.482 Spear. correl = 0.575 RMSE = 0.187 Likelihood = -0.62	Metric: T-sCIELab Prediction map Pear. correl = 0.588 Spear. correl = 0.613 RMSE = 0.153 Likelihood = -0.409	Metric: T-SSIM Prediction map Pear. correl = 0.437 Spear. correl = 0.527 RMSE = 0.239 Likelihood = -1.98	Metric: T-FSIM Prediction map Pear. correl = 0.77 Spear. correl = 0.433 RMSE = 0.179 Likelihood = -1.49	Metric: T-VSI Prediction map Pear. correl = 0.163 Spear. correl = 0.551 RMSE = 0.366 Likelihood = -1.56	Metric: T-Butteraugli Prediction map Pear. correl = 0.627 Spear. correl = 0.693 RMSE = 0.166 Likelihood = -0.832	Metric: T-HDR-VDP Prediction map Pear. correl = 0.706 Spear. correl = 0.6 RMSE = 0.246 Likelihood = -1.27	Metric: CNN Prediction map Pear. correl = 0.761 Spear. correl = 0.448 RMSE = 0.219 Likelihood = -1.81
ref_edge_luminance: 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 = 0.607 Spear. correl = 0.611 RMSE = 0.219 Likelihood = -1.28	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.434 Spear. correl = 0.465 RMSE = 0.184 Likelihood = -0.427	Metric: T-sCIELab Prediction map Pear. correl = 0.539 Spear. correl = 0.511 RMSE = 0.158 Likelihood = -0.379	Metric: T-SSIM Prediction map Pear. correl = 0.488 Spear. correl = 0.483 RMSE = 0.26 Likelihood = -1.98	Metric: T-FSIM Prediction map Pear. correl = 0.788 Spear. correl = 0.467 RMSE = 0.193 Likelihood = -1.35	Metric: T-VSI Prediction map Pear. correl = 0.202 Spear. correl = 0.571 RMSE = 0.366 Likelihood = -1.44	Metric: T-Butteraugli Prediction map Pear. correl = 0.641 Spear. correl = 0.694 RMSE = 0.152 Likelihood = -0.492	Metric: T-HDR-VDP Prediction map Pear. correl = 0.694 Spear. correl = 0.66 RMSE = 0.289 Likelihood = -1.26	Metric: CNN Prediction map Pear. correl = 0.783 Spear. correl = 0.568 RMSE = 0.232 Likelihood = -1.74
ref_freq: 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 = 0.639 Spear. correl = 0.301 RMSE = 0.203 Likelihood = -0.177	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.404 Spear. correl = -0.139 RMSE = 0.232 Likelihood = -0.225	Metric: T-sCIELab Prediction map Pear. correl = 0.469 Spear. correl = -0.183 RMSE = 0.22 Likelihood = -0.274	Metric: T-SSIM Prediction map Pear. correl = 0.481 Spear. correl = 0.512 RMSE = 0.229 Likelihood = -0.405	Metric: T-FSIM Prediction map Pear. correl = 0.282 Spear. correl = 0.308 RMSE = 0.643 Likelihood = -0.859	Metric: T-VSI Prediction map Pear. correl = 0.813 Spear. correl = 0.512 RMSE = 0.141 Likelihood = -0.251	Metric: T-Butteraugli Prediction map Pear. correl = 0.724 Spear. correl = 0.651 RMSE = 0.187 Likelihood = -0.245	Metric: T-HDR-VDP Prediction map Pear. correl = 0.755 Spear. correl = 0.659 RMSE = 0.258 Likelihood = -0.179	Metric: CNN Prediction map Pear. correl = 0.956 Spear. correl = 0.672 RMSE = 0.0701 Likelihood = 0.0357
ref_freq: 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 = 0.7 Spear. correl = 0.514 RMSE = 0.217 Likelihood = -0.297	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.581 Spear. correl = 0.51 RMSE = 0.256 Likelihood = -0.356	Metric: T-sCIELab Prediction map Pear. correl = 0.653 Spear. correl = 0.544 RMSE = 0.229 Likelihood = -0.415	Metric: T-SSIM Prediction map Pear. correl = 0.573 Spear. correl = 0.612 RMSE = 0.254 Likelihood = -0.57	Metric: T-FSIM Prediction map Pear. correl = 0.306 Spear. correl = 0.331 RMSE = 0.653 Likelihood = -0.898	Metric: T-VSI Prediction map Pear. correl = 0.865 Spear. correl = 0.633 RMSE = 0.144 Likelihood = -0.281	Metric: T-Butteraugli Prediction map Pear. correl = 0.811 Spear. correl = 0.751 RMSE = 0.181 Likelihood = -0.252	Metric: T-HDR-VDP Prediction map Pear. correl = 0.728 Spear. correl = 0.753 RMSE = 0.342 Likelihood = -0.376	Metric: CNN Prediction map Pear. correl = 0.955 Spear. correl = 0.799 RMSE = 0.0815 Likelihood = -0.00764
ref_freq: 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 = 0.747 Spear. correl = 0.669 RMSE = 0.222 Likelihood = -0.378	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.577 Spear. correl = 0.655 RMSE = 0.265 Likelihood = -0.518	Metric: T-sCIELab Prediction map Pear. correl = 0.645 Spear. correl = 0.485 RMSE = 0.246 Likelihood = -0.659	Metric: T-SSIM Prediction map Pear. correl = 0.627 Spear. correl = 0.668 RMSE = 0.262 Likelihood = -0.717	Metric: T-FSIM Prediction map Pear. correl = 0.331 Spear. correl = 0.339 RMSE = 0.64 Likelihood = -0.896	Metric: T-VSI Prediction map Pear. correl = 0.882 Spear. correl = 0.702 RMSE = 0.15 Likelihood = -0.286	Metric: T-Butteraugli Prediction map Pear. correl = 0.855 Spear. correl = 0.811 RMSE = 0.167 Likelihood = -0.241	Metric: T-HDR-VDP Prediction map Pear. correl = 0.698 Spear. correl = 0.782 RMSE = 0.389 Likelihood = -0.484	Metric: CNN Prediction map Pear. correl = 0.952 Spear. correl = 0.84 RMSE = 0.0985 Likelihood = -0.0634
ref_freq-hc: 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 = 0.78 Spear. correl = 0.722 RMSE = 0.316 Likelihood = -0.801	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.641 Spear. correl = 0.471 RMSE = 0.409 Likelihood = -0.905	Metric: T-sCIELab Prediction map Pear. correl = 0.687 Spear. correl = 0.447 RMSE = 0.355 Likelihood = -0.846	Metric: T-SSIM Prediction map Pear. correl = 0.729 Spear. correl = 0.802 RMSE = 0.334 Likelihood = -1.1	Metric: T-FSIM Prediction map Pear. correl = 0.568 Spear. correl = 0.617 RMSE = 0.445 Likelihood = -0.705	Metric: T-VSI Prediction map Pear. correl = 0.895 Spear. correl = 0.814 RMSE = 0.183 Likelihood = -0.444	Metric: T-Butteraugli Prediction map Pear. correl = 0.867 Spear. correl = 0.849 RMSE = 0.215 Likelihood = -0.572	Metric: T-HDR-VDP Prediction map Pear. correl = 0.664 Spear. correl = 0.81 RMSE = 0.443 Likelihood = -0.621	Metric: CNN Prediction map Pear. correl = 0.95 Spear. correl = 0.91 RMSE = 0.124 Likelihood = -0.337
ref_freq-hc: 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 = 0.816 Spear. correl = 0.813 RMSE = 0.282 Likelihood = -0.737	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.687 Spear. correl = 0.78 RMSE = 0.381 Likelihood = -0.908	Metric: T-sCIELab Prediction map Pear. correl = 0.738 Spear. correl = 0.777 RMSE = 0.319 Likelihood = -0.818	Metric: T-SSIM Prediction map Pear. correl = 0.796 Spear. correl = 0.858 RMSE = 0.298 Likelihood = -1.06	Metric: T-FSIM Prediction map Pear. correl = 0.634 Spear. correl = 0.725 RMSE = 0.43 Likelihood = -0.645	Metric: T-VSI Prediction map Pear. correl = 0.895 Spear. correl = 0.868 RMSE = 0.202 Likelihood = -0.345	Metric: T-Butteraugli Prediction map Pear. correl = 0.898 Spear. correl = 0.891 RMSE = 0.177 Likelihood = -0.392	Metric: T-HDR-VDP Prediction map Pear. correl = 0.594 Spear. correl = 0.792 RMSE = 0.499 Likelihood = -0.731	Metric: CNN Prediction map Pear. correl = 0.966 Spear. correl = 0.936 RMSE = 0.104 Likelihood = -0.225
ref_freq-hc: 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 = 0.838 Spear. correl = 0.869 RMSE = 0.268 Likelihood = -0.757	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.694 Spear. correl = 0.864 RMSE = 0.362 Likelihood = -0.963	Metric: T-sCIELab Prediction map Pear. correl = 0.74 Spear. correl = 0.79 RMSE = 0.297 Likelihood = -0.874	Metric: T-SSIM Prediction map Pear. correl = 0.82 Spear. correl = 0.875 RMSE = 0.283 Likelihood = -1.02	Metric: T-FSIM Prediction map Pear. correl = 0.657 Spear. correl = 0.774 RMSE = 0.419 Likelihood = -0.631	Metric: T-VSI Prediction map Pear. correl = 0.882 Spear. correl = 0.88 RMSE = 0.221 Likelihood = -0.353	Metric: T-Butteraugli Prediction map Pear. correl = 0.889 Spear. correl = 0.886 RMSE = 0.184 Likelihood = -0.379	Metric: T-HDR-VDP Prediction map Pear. correl = 0.581 Spear. correl = 0.758 RMSE = 0.497 Likelihood = -0.729	Metric: CNN Prediction map Pear. correl = 0.958 Spear. correl = 0.935 RMSE = 0.12 Likelihood = -0.235
ref_gauss_blobs: 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 = 0.9 Spear. correl = 0.759 RMSE = 0.176 Likelihood = -0.356	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.859 Spear. correl = 0.758 RMSE = 0.235 Likelihood = -0.615	Metric: T-sCIELab Prediction map Pear. correl = 0.809 Spear. correl = 0.75 RMSE = 0.243 Likelihood = -0.684	Metric: T-SSIM Prediction map Pear. correl = 0.865 Spear. correl = 0.799 RMSE = 0.169 Likelihood = -0.675	Metric: T-FSIM Prediction map Pear. correl = 0.884 Spear. correl = 0.694 RMSE = 0.124 Likelihood = -0.375	Metric: T-VSI Prediction map Pear. correl = 0.897 Spear. correl = 0.743 RMSE = 0.121 Likelihood = -0.371	Metric: T-Butteraugli Prediction map Pear. correl = 0.839 Spear. correl = 0.813 RMSE = 0.221 Likelihood = -0.709	Metric: T-HDR-VDP Prediction map Pear. correl = 0.894 Spear. correl = 0.761 RMSE = 0.13 Likelihood = -0.446	Metric: CNN Prediction map Pear. correl = 0.843 Spear. correl = 0.828 RMSE = 0.172 Likelihood = -0.635
ref_gauss_blobs: 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 = 0.921 Spear. correl = 0.795 RMSE = 0.166 Likelihood = -0.794	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.878 Spear. correl = 0.795 RMSE = 0.247 Likelihood = -1.27	Metric: T-sCIELab Prediction map Pear. correl = 0.838 Spear. correl = 0.788 RMSE = 0.256 Likelihood = -1.39	Metric: T-SSIM Prediction map Pear. correl = 0.917 Spear. correl = 0.816 RMSE = 0.15 Likelihood = -1.25	Metric: T-FSIM Prediction map Pear. correl = 0.923 Spear. correl = 0.745 RMSE = 0.122 Likelihood = -0.78	Metric: T-VSI Prediction map Pear. correl = 0.936 Spear. correl = 0.781 RMSE = 0.118 Likelihood = -0.815	Metric: T-Butteraugli Prediction map Pear. correl = 0.871 Spear. correl = 0.849 RMSE = 0.218 Likelihood = -1.4	Metric: T-HDR-VDP Prediction map Pear. correl = 0.953 Spear. correl = 0.859 RMSE = 0.104 Likelihood = -0.792	Metric: CNN Prediction map Pear. correl = 0.923 Spear. correl = 0.862 RMSE = 0.141 Likelihood = -1.15
ref_gauss_blobs: 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 = 0.91 Spear. correl = 0.835 RMSE = 0.181 Likelihood = -0.792	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.852 Spear. correl = 0.834 RMSE = 0.274 Likelihood = -1.32	Metric: T-sCIELab Prediction map Pear. correl = 0.812 Spear. correl = 0.83 RMSE = 0.285 Likelihood = -1.49	Metric: T-SSIM Prediction map Pear. correl = 0.906 Spear. correl = 0.851 RMSE = 0.171 Likelihood = -1.23	Metric: T-FSIM Prediction map Pear. correl = 0.914 Spear. correl = 0.787 RMSE = 0.143 Likelihood = -0.784	Metric: T-VSI Prediction map Pear. correl = 0.928 Spear. correl = 0.82 RMSE = 0.138 Likelihood = -0.822	Metric: T-Butteraugli Prediction map Pear. correl = 0.846 Spear. correl = 0.884 RMSE = 0.245 Likelihood = -1.46	Metric: T-HDR-VDP Prediction map Pear. correl = 0.939 Spear. correl = 0.891 RMSE = 0.128 Likelihood = -0.745	Metric: CNN Prediction map Pear. correl = 0.899 Spear. correl = 0.894 RMSE = 0.17 Likelihood = -1.12
ref_hf_noise_correl_trans: 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 = 0.394 Spear. correl = 0.331 RMSE = 0.561 Likelihood = -1.14	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.485 Spear. correl = 0.38 RMSE = 0.381 Likelihood = -1.02	Metric: T-sCIELab Prediction map Pear. correl = 0.447 Spear. correl = 0.358 RMSE = 0.394 Likelihood = -1.01	Metric: T-SSIM Prediction map Pear. correl = 0.569 Spear. correl = 0.54 RMSE = 0.735 Likelihood = -1.2	Metric: T-FSIM Prediction map Pear. correl = 0.455 Spear. correl = 0.459 RMSE = 0.553 Likelihood = -1.01	Metric: T-VSI Prediction map Pear. correl = 0.395 Spear. correl = 0.428 RMSE = 0.598 Likelihood = -1.05	Metric: T-Butteraugli Prediction map Pear. correl = 0.259 Spear. correl = 0.67 RMSE = 0.755 Likelihood = -1.21	Metric: T-HDR-VDP Prediction map Pear. correl = 0.146 Spear. correl = 0.283 RMSE = 0.816 Likelihood = -1.25	Metric: CNN Prediction map Pear. correl = 0.968 Spear. correl = 0.806 RMSE = 0.0991 Likelihood = -0.176
ref_hf_noise_uncorrel_1: 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 = 0.588 Spear. correl = 0.386 RMSE = 0.358 Likelihood = -1.03	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.662 Spear. correl = 0.403 RMSE = 0.225 Likelihood = -0.569	Metric: T-sCIELab Prediction map Pear. correl = 0.66 Spear. correl = 0.4 RMSE = 0.214 Likelihood = -0.497	Metric: T-SSIM Prediction map Pear. correl = 0.73 Spear. correl = 0.495 RMSE = 0.425 Likelihood = -1.11	Metric: T-FSIM Prediction map Pear. correl = 0.389 Spear. correl = 0.281 RMSE = 0.437 Likelihood = -1.01	Metric: T-VSI Prediction map Pear. correl = 0.328 Spear. correl = 0.244 RMSE = 0.485 Likelihood = -1.07	Metric: T-Butteraugli Prediction map Pear. correl = 0.9 Spear. correl = 0.626 RMSE = 0.229 Likelihood = -0.68	Metric: T-HDR-VDP Prediction map Pear. correl = 0.781 Spear. correl = 0.647 RMSE = 0.606 Likelihood = -1.32	Metric: CNN Prediction map Pear. correl = 0.934 Spear. correl = 0.624 RMSE = 0.194 Likelihood = -0.532
ref_hf_noise_uncorrel_1: 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 = 0.51 Spear. correl = 0.38 RMSE = 0.484 Likelihood = -1.18	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.592 Spear. correl = 0.412 RMSE = 0.314 Likelihood = -0.955	Metric: T-sCIELab Prediction map Pear. correl = 0.56 Spear. correl = 0.396 RMSE = 0.316 Likelihood = -0.942	Metric: T-SSIM Prediction map Pear. correl = 0.687 Spear. correl = 0.547 RMSE = 0.648 Likelihood = -1.25	Metric: T-FSIM Prediction map Pear. correl = 0.377 Spear. correl = 0.316 RMSE = 0.571 Likelihood = -1.12	Metric: T-VSI Prediction map Pear. correl = 0.308 Spear. correl = 0.268 RMSE = 0.619 Likelihood = -1.17	Metric: T-Butteraugli Prediction map Pear. correl = 0.777 Spear. correl = 0.72 RMSE = 0.559 Likelihood = -1.17	Metric: T-HDR-VDP Prediction map Pear. correl = 0.445 Spear. correl = 0.724 RMSE = 0.852 Likelihood = -1.38	Metric: CNN Prediction map Pear. correl = 0.926 Spear. correl = 0.749 RMSE = 0.461 Likelihood = -1.06
ref_hf_noise_uncorrel_1: 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 = 0.433 Spear. correl = 0.337 RMSE = 0.527 Likelihood = -1.14	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.514 Spear. correl = 0.375 RMSE = 0.36 Likelihood = -1.05	Metric: T-sCIELab Prediction map Pear. correl = 0.466 Spear. correl = 0.348 RMSE = 0.375 Likelihood = -1.05	Metric: T-SSIM Prediction map Pear. correl = 0.616 Spear. correl = 0.514 RMSE = 0.701 Likelihood = -1.18	Metric: T-FSIM Prediction map Pear. correl = 0.419 Spear. correl = 0.396 RMSE = 0.567 Likelihood = -1.04	Metric: T-VSI Prediction map Pear. correl = 0.358 Spear. correl = 0.368 RMSE = 0.61 Likelihood = -1.08	Metric: T-Butteraugli Prediction map Pear. correl = 0.361 Spear. correl = 0.614 RMSE = 0.704 Likelihood = -1.18	Metric: T-HDR-VDP Prediction map Pear. correl = 0.357 Spear. correl = 0.606 RMSE = 0.802 Likelihood = -1.25	Metric: CNN Prediction map Pear. correl = 0.878 Spear. correl = 0.685 RMSE = 0.636 Likelihood = -1.14
ref_hf_noise_uncorrel_2: 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 = 0.616 Spear. correl = 0.45 RMSE = 0.4 Likelihood = -1.04	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.687 Spear. correl = 0.47 RMSE = 0.175 Likelihood = -0.407	Metric: T-sCIELab Prediction map Pear. correl = 0.685 Spear. correl = 0.461 RMSE = 0.165 Likelihood = -0.353	Metric: T-SSIM Prediction map Pear. correl = 0.752 Spear. correl = 0.568 RMSE = 0.448 Likelihood = -1.09	Metric: T-FSIM Prediction map Pear. correl = 0.456 Spear. correl = 0.373 RMSE = 0.479 Likelihood = -0.983	Metric: T-VSI Prediction map Pear. correl = 0.4 Spear. correl = 0.336 RMSE = 0.516 Likelihood = -1.05	Metric: T-Butteraugli Prediction map Pear. correl = 0.802 Spear. correl = 0.659 RMSE = 0.234 Likelihood = -0.619	Metric: T-HDR-VDP Prediction map Pear. correl = 0.765 Spear. correl = 0.689 RMSE = 0.663 Likelihood = -1.39	Metric: CNN Prediction map Pear. correl = 0.714 Spear. correl = 0.609 RMSE = 0.449 Likelihood = -1.15
ref_hf_noise_uncorrel_2: 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 = 0.44 Spear. correl = 0.42 RMSE = 0.538 Likelihood = -1.19	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.516 Spear. correl = 0.471 RMSE = 0.307 Likelihood = -0.844	Metric: T-sCIELab Prediction map Pear. correl = 0.502 Spear. correl = 0.452 RMSE = 0.3 Likelihood = -0.818	Metric: T-SSIM Prediction map Pear. correl = 0.599 Spear. correl = 0.614 RMSE = 0.71 Likelihood = -1.37	Metric: T-FSIM Prediction map Pear. correl = 0.352 Spear. correl = 0.389 RMSE = 0.619 Likelihood = -1.21	Metric: T-VSI Prediction map Pear. correl = 0.301 Spear. correl = 0.339 RMSE = 0.652 Likelihood = -1.24	Metric: T-Butteraugli Prediction map Pear. correl = 0.705 Spear. correl = 0.775 RMSE = 0.584 Likelihood = -1.25	Metric: T-HDR-VDP Prediction map Pear. correl = 0.415 Spear. correl = 0.808 RMSE = 0.87 Likelihood = -1.48	Metric: CNN Prediction map Pear. correl = 0.511 Spear. correl = 0.446 RMSE = 0.606 Likelihood = -1.25
ref_hf_noise_uncorrel_2: 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 = 0.371 Spear. correl = 0.368 RMSE = 0.601 Likelihood = -1.22	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.459 Spear. correl = 0.434 RMSE = 0.391 Likelihood = -0.997	Metric: T-sCIELab Prediction map Pear. correl = 0.433 Spear. correl = 0.41 RMSE = 0.389 Likelihood = -0.986	Metric: T-SSIM Prediction map Pear. correl = 0.511 Spear. correl = 0.595 RMSE = 0.785 Likelihood = -1.37	Metric: T-FSIM Prediction map Pear. correl = 0.384 Spear. correl = 0.451 RMSE = 0.639 Likelihood = -1.21	Metric: T-VSI Prediction map Pear. correl = 0.343 Spear. correl = 0.41 RMSE = 0.666 Likelihood = -1.23	Metric: T-Butteraugli Prediction map Pear. correl = 0.371 Spear. correl = 0.73 RMSE = 0.749 Likelihood = -1.33	Metric: T-HDR-VDP Prediction map Pear. correl = 0.226 Spear. correl = 0.471 RMSE = 0.843 Likelihood = -1.41	Metric: CNN Prediction map Pear. correl = 0.456 Spear. correl = 0.386 RMSE = 0.61 Likelihood = -1.23
ref_increment: 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 = 0.7 Spear. correl = 0.42 RMSE = 0.0926 Likelihood = -0.0224	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.709 Spear. correl = 0.421 RMSE = 0.0947 Likelihood = -0.0281	Metric: T-sCIELab Prediction map Pear. correl = 0.692 Spear. correl = 0.512 RMSE = 0.0985 Likelihood = -0.0114	Metric: T-SSIM Prediction map Pear. correl = 0.659 Spear. correl = 0.47 RMSE = 0.0993 Likelihood = -0.0255	Metric: T-FSIM Prediction map Pear. correl = 0.297 Spear. correl = 0.382 RMSE = 0.367 Likelihood = -0.243	Metric: T-VSI Prediction map Pear. correl = 0.663 Spear. correl = 0.474 RMSE = 0.102 Likelihood = -0.00821	Metric: T-Butteraugli Prediction map Pear. correl = 0.709 Spear. correl = 0.522 RMSE = 0.13 Likelihood = 0.0341	Metric: T-HDR-VDP Prediction map Pear. correl = 0.666 Spear. correl = 0.533 RMSE = 0.185 Likelihood = 0.0525	Metric: CNN Prediction map Pear. correl = 0.816 Spear. correl = 0.549 RMSE = 0.0706 Likelihood = 0.122
ref_increment: 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 = 0.458 RMSE = 0.108 Likelihood = -0.102	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.721 Spear. correl = 0.459 RMSE = 0.103 Likelihood = -0.103	Metric: T-sCIELab Prediction map Pear. correl = 0.759 Spear. correl = 0.575 RMSE = 0.105 Likelihood = -0.0647	Metric: T-SSIM Prediction map Pear. correl = 0.727 Spear. correl = 0.461 RMSE = 0.11 Likelihood = -0.0991	Metric: T-FSIM Prediction map Pear. correl = 0.247 Spear. correl = 0.296 RMSE = 0.452 Likelihood = -0.471	Metric: T-VSI Prediction map Pear. correl = 0.745 Spear. correl = 0.488 RMSE = 0.11 Likelihood = -0.0561	Metric: T-Butteraugli Prediction map Pear. correl = 0.698 Spear. correl = 0.555 RMSE = 0.18 Likelihood = -0.0317	Metric: T-HDR-VDP Prediction map Pear. correl = 0.588 Spear. correl = 0.51 RMSE = 0.264 Likelihood = -0.0996	Metric: CNN Prediction map Pear. correl = 0.834 Spear. correl = 0.539 RMSE = 0.0787 Likelihood = 0.0711
ref_increment: 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 = 0.783 Spear. correl = 0.501 RMSE = 0.107 Likelihood = -0.113	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.761 Spear. correl = 0.502 RMSE = 0.105 Likelihood = -0.124	Metric: T-sCIELab Prediction map Pear. correl = 0.829 Spear. correl = 0.615 RMSE = 0.101 Likelihood = -0.0605	Metric: T-SSIM Prediction map Pear. correl = 0.793 Spear. correl = 0.56 RMSE = 0.108 Likelihood = -0.125	Metric: T-FSIM Prediction map Pear. correl = 0.217 Spear. correl = 0.25 RMSE = 0.496 Likelihood = -0.59	Metric: T-VSI Prediction map Pear. correl = 0.803 Spear. correl = 0.458 RMSE = 0.11 Likelihood = -0.0631	Metric: T-Butteraugli Prediction map Pear. correl = 0.698 Spear. correl = 0.568 RMSE = 0.211 Likelihood = -0.0559	Metric: T-HDR-VDP Prediction map Pear. correl = 0.553 Spear. correl = 0.504 RMSE = 0.311 Likelihood = -0.173	Metric: CNN Prediction map Pear. correl = 0.875 Spear. correl = 0.559 RMSE = 0.0751 Likelihood = 0.0603
ref_luminance: 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 = 0.574 Spear. correl = 0.00882 RMSE = 0.251 Likelihood = -0.234	Metric: T-CIEDE2000 Prediction map Pear. correl = -0.0743 Spear. correl = -0.349 RMSE = 0.268 Likelihood = -0.279	Metric: T-sCIELab Prediction map Pear. correl = 0.0705 Spear. correl = -0.364 RMSE = 0.265 Likelihood = -0.311	Metric: T-SSIM Prediction map Pear. correl = 0.364 Spear. correl = 0.22 RMSE = 0.28 Likelihood = -0.329	Metric: T-FSIM Prediction map Pear. correl = 0.833 Spear. correl = 0.573 RMSE = 0.156 Likelihood = -0.13	Metric: T-VSI Prediction map Pear. correl = 0.368 Spear. correl = 0.478 RMSE = 0.374 Likelihood = -0.332	Metric: T-Butteraugli Prediction map Pear. correl = 0.671 Spear. correl = 0.3 RMSE = 0.224 Likelihood = -0.219	Metric: T-HDR-VDP Prediction map Pear. correl = 0.926 Spear. correl = 0.804 RMSE = 0.102 Likelihood = 0.116	Metric: CNN Prediction map Pear. correl = 0.908 Spear. correl = 0.654 RMSE = 0.128 Likelihood = -0.107
ref_luminance: 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 = 0.693 Spear. correl = 0.456 RMSE = 0.266 Likelihood = -0.344	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.709 Spear. correl = 0.636 RMSE = 0.284 Likelihood = -0.362	Metric: T-sCIELab Prediction map Pear. correl = 0.688 Spear. correl = 0.652 RMSE = 0.264 Likelihood = -0.378	Metric: T-SSIM Prediction map Pear. correl = 0.488 Spear. correl = 0.463 RMSE = 0.305 Likelihood = -0.571	Metric: T-FSIM Prediction map Pear. correl = 0.875 Spear. correl = 0.669 RMSE = 0.142 Likelihood = -0.161	Metric: T-VSI Prediction map Pear. correl = 0.516 Spear. correl = 0.57 RMSE = 0.356 Likelihood = -0.346	Metric: T-Butteraugli Prediction map Pear. correl = 0.803 Spear. correl = 0.666 RMSE = 0.202 Likelihood = -0.271	Metric: T-HDR-VDP Prediction map Pear. correl = 0.88 Spear. correl = 0.829 RMSE = 0.184 Likelihood = -0.0629	Metric: CNN Prediction map Pear. correl = 0.939 Spear. correl = 0.77 RMSE = 0.114 Likelihood = -0.141
ref_luminance: 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 = 0.731 Spear. correl = 0.776 RMSE = 0.292 Likelihood = -0.444	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.455 Spear. correl = 0.282 RMSE = 0.311 Likelihood = -0.633	Metric: T-sCIELab Prediction map Pear. correl = 0.519 Spear. correl = 0.269 RMSE = 0.292 Likelihood = -0.752	Metric: T-SSIM Prediction map Pear. correl = 0.515 Spear. correl = 0.678 RMSE = 0.335 Likelihood = -0.717	Metric: T-FSIM Prediction map Pear. correl = 0.838 Spear. correl = 0.684 RMSE = 0.189 Likelihood = -0.292	Metric: T-VSI Prediction map Pear. correl = 0.578 Spear. correl = 0.599 RMSE = 0.349 Likelihood = -0.408	Metric: T-Butteraugli Prediction map Pear. correl = 0.794 Spear. correl = 0.603 RMSE = 0.207 Likelihood = -0.394	Metric: T-HDR-VDP Prediction map Pear. correl = 0.827 Spear. correl = 0.819 RMSE = 0.236 Likelihood = -0.213	Metric: CNN Prediction map Pear. correl = 0.928 Spear. correl = 0.788 RMSE = 0.137 Likelihood = -0.275
ref_mask-ampl: 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 = 0.64 Spear. correl = 0.41 RMSE = 0.115 Likelihood = 0.213	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.625 Spear. correl = 0.411 RMSE = 0.13 Likelihood = 0.235	Metric: T-sCIELab Prediction map Pear. correl = 0.614 Spear. correl = 0.417 RMSE = 0.119 Likelihood = 0.233	Metric: T-SSIM Prediction map Pear. correl = 0.618 Spear. correl = 0.521 RMSE = 0.119 Likelihood = 0.231	Metric: T-FSIM Prediction map Pear. correl = 0.762 Spear. correl = 0.431 RMSE = 0.106 Likelihood = 0.239	Metric: T-VSI Prediction map Pear. correl = 0.782 Spear. correl = 0.484 RMSE = 0.105 Likelihood = 0.273	Metric: T-Butteraugli Prediction map Pear. correl = 0.874 Spear. correl = 0.535 RMSE = 0.0774 Likelihood = 0.291	Metric: T-HDR-VDP Prediction map Pear. correl = 0.865 Spear. correl = 0.539 RMSE = 0.11 Likelihood = 0.265	Metric: CNN Prediction map Pear. correl = 0.808 Spear. correl = 0.542 RMSE = 0.126 Likelihood = 0.224
ref_mask-ampl: 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 = 0.711 Spear. correl = 0.481 RMSE = 0.137 Likelihood = 0.0827	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.687 Spear. correl = 0.483 RMSE = 0.162 Likelihood = 0.0747	Metric: T-sCIELab Prediction map Pear. correl = 0.684 Spear. correl = 0.485 RMSE = 0.143 Likelihood = 0.0824	Metric: T-SSIM Prediction map Pear. correl = 0.696 Spear. correl = 0.56 RMSE = 0.14 Likelihood = 0.0702	Metric: T-FSIM Prediction map Pear. correl = 0.799 Spear. correl = 0.462 RMSE = 0.142 Likelihood = 0.0908	Metric: T-VSI Prediction map Pear. correl = 0.816 Spear. correl = 0.56 RMSE = 0.14 Likelihood = 0.156	Metric: T-Butteraugli Prediction map Pear. correl = 0.875 Spear. correl = 0.599 RMSE = 0.0925 Likelihood = 0.199	Metric: T-HDR-VDP Prediction map Pear. correl = 0.813 Spear. correl = 0.611 RMSE = 0.187 Likelihood = 0.076	Metric: CNN Prediction map Pear. correl = 0.807 Spear. correl = 0.611 RMSE = 0.18 Likelihood = 0.0689
ref_mask-ampl: 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 = 0.76 Spear. correl = 0.559 RMSE = 0.147 Likelihood = -0.0623	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.728 Spear. correl = 0.563 RMSE = 0.181 Likelihood = -0.172	Metric: T-sCIELab Prediction map Pear. correl = 0.734 Spear. correl = 0.568 RMSE = 0.155 Likelihood = -0.156	Metric: T-SSIM Prediction map Pear. correl = 0.746 Spear. correl = 0.59 RMSE = 0.151 Likelihood = -0.2	Metric: T-FSIM Prediction map Pear. correl = 0.836 Spear. correl = 0.521 RMSE = 0.154 Likelihood = -0.0568	Metric: T-VSI Prediction map Pear. correl = 0.85 Spear. correl = 0.64 RMSE = 0.151 Likelihood = -0.00447	Metric: T-Butteraugli Prediction map Pear. correl = 0.888 Spear. correl = 0.67 RMSE = 0.103 Likelihood = 0.017	Metric: T-HDR-VDP Prediction map Pear. correl = 0.802 Spear. correl = 0.684 RMSE = 0.226 Likelihood = -0.065	Metric: CNN Prediction map Pear. correl = 0.821 Spear. correl = 0.689 RMSE = 0.203 Likelihood = -0.054
ref_mask-freq-1: 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 = 0.648 Spear. correl = 0.432 RMSE = 0.0987 Likelihood = 0.251	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.608 Spear. correl = 0.43 RMSE = 0.116 Likelihood = 0.244	Metric: T-sCIELab Prediction map Pear. correl = 0.608 Spear. correl = 0.455 RMSE = 0.104 Likelihood = 0.263	Metric: T-SSIM Prediction map Pear. correl = 0.433 Spear. correl = 0.561 RMSE = 0.117 Likelihood = 0.23	Metric: T-FSIM Prediction map Pear. correl = 0.484 Spear. correl = 0.364 RMSE = 0.274 Likelihood = -0.057	Metric: T-VSI Prediction map Pear. correl = 0.752 Spear. correl = 0.487 RMSE = 0.089 Likelihood = 0.287	Metric: T-Butteraugli Prediction map Pear. correl = 0.664 Spear. correl = 0.576 RMSE = 0.0994 Likelihood = 0.284	Metric: T-HDR-VDP Prediction map Pear. correl = 0.628 Spear. correl = 0.54 RMSE = 0.292 Likelihood = -0.0947	Metric: CNN Prediction map Pear. correl = 0.534 Spear. correl = 0.289 RMSE = 0.105 Likelihood = 0.241
ref_mask-freq-1: 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 = 0.715 Spear. correl = 0.538 RMSE = 0.128 Likelihood = 0.12	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.655 Spear. correl = 0.536 RMSE = 0.158 Likelihood = 0.0679	Metric: T-sCIELab Prediction map Pear. correl = 0.68 Spear. correl = 0.551 RMSE = 0.134 Likelihood = 0.0959	Metric: T-SSIM Prediction map Pear. correl = 0.575 Spear. correl = 0.599 RMSE = 0.152 Likelihood = 0.0344	Metric: T-FSIM Prediction map Pear. correl = 0.505 Spear. correl = 0.348 RMSE = 0.367 Likelihood = -0.396	Metric: T-VSI Prediction map Pear. correl = 0.777 Spear. correl = 0.491 RMSE = 0.131 Likelihood = 0.101	Metric: T-Butteraugli Prediction map Pear. correl = 0.738 Spear. correl = 0.614 RMSE = 0.12 Likelihood = 0.122	Metric: T-HDR-VDP Prediction map Pear. correl = 0.566 Spear. correl = 0.63 RMSE = 0.398 Likelihood = -0.336	Metric: CNN Prediction map Pear. correl = 0.657 Spear. correl = 0.442 RMSE = 0.133 Likelihood = 0.105
ref_mask-freq-1: 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 = 0.755 Spear. correl = 0.639 RMSE = 0.137 Likelihood = 0.0653	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.684 Spear. correl = 0.638 RMSE = 0.175 Likelihood = -0.0239	Metric: T-sCIELab Prediction map Pear. correl = 0.723 Spear. correl = 0.652 RMSE = 0.143 Likelihood = 0.0211	Metric: T-SSIM Prediction map Pear. correl = 0.645 Spear. correl = 0.686 RMSE = 0.163 Likelihood = -0.0644	Metric: T-FSIM Prediction map Pear. correl = 0.469 Spear. correl = 0.394 RMSE = 0.441 Likelihood = -0.608	Metric: T-VSI Prediction map Pear. correl = 0.777 Spear. correl = 0.554 RMSE = 0.164 Likelihood = -0.00645	Metric: T-Butteraugli Prediction map Pear. correl = 0.778 Spear. correl = 0.676 RMSE = 0.126 Likelihood = 0.0656	Metric: T-HDR-VDP Prediction map Pear. correl = 0.555 Spear. correl = 0.686 RMSE = 0.456 Likelihood = -0.502	Metric: CNN Prediction map Pear. correl = 0.676 Spear. correl = 0.529 RMSE = 0.157 Likelihood = 0.0186
ref_mask-freq-4: 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 = 0.786 Spear. correl = 0.644 RMSE = 0.226 Likelihood = -0.139	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.717 Spear. correl = 0.643 RMSE = 0.259 Likelihood = -0.228	Metric: T-sCIELab Prediction map Pear. correl = 0.709 Spear. correl = 0.662 RMSE = 0.24 Likelihood = -0.212	Metric: T-SSIM Prediction map Pear. correl = 0.638 Spear. correl = 0.706 RMSE = 0.245 Likelihood = -0.274	Metric: T-FSIM Prediction map Pear. correl = 0.832 Spear. correl = 0.589 RMSE = 0.149 Likelihood = -0.0834	Metric: T-VSI Prediction map Pear. correl = 0.844 Spear. correl = 0.704 RMSE = 0.149 Likelihood = -0.0769	Metric: T-Butteraugli Prediction map Pear. correl = 0.778 Spear. correl = 0.778 RMSE = 0.205 Likelihood = -0.165	Metric: T-HDR-VDP Prediction map Pear. correl = 0.912 Spear. correl = 0.773 RMSE = 0.121 Likelihood = 0.0981	Metric: CNN Prediction map Pear. correl = 0.946 Spear. correl = 0.736 RMSE = 0.0912 Likelihood = 0.0295
ref_mask-freq-4: 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 = 0.821 Spear. correl = 0.754 RMSE = 0.236 Likelihood = -0.358	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.74 Spear. correl = 0.754 RMSE = 0.287 Likelihood = -0.519	Metric: T-sCIELab Prediction map Pear. correl = 0.76 Spear. correl = 0.766 RMSE = 0.253 Likelihood = -0.49	Metric: T-SSIM Prediction map Pear. correl = 0.723 Spear. correl = 0.783 RMSE = 0.252 Likelihood = -0.576	Metric: T-FSIM Prediction map Pear. correl = 0.869 Spear. correl = 0.66 RMSE = 0.145 Likelihood = -0.183	Metric: T-VSI Prediction map Pear. correl = 0.889 Spear. correl = 0.799 RMSE = 0.139 Likelihood = -0.209	Metric: T-Butteraugli Prediction map Pear. correl = 0.837 Spear. correl = 0.841 RMSE = 0.194 Likelihood = -0.364	Metric: T-HDR-VDP Prediction map Pear. correl = 0.866 Spear. correl = 0.813 RMSE = 0.195 Likelihood = -0.0846	Metric: CNN Prediction map Pear. correl = 0.964 Spear. correl = 0.812 RMSE = 0.0788 Likelihood = -0.0503
ref_mask-freq-4: 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 = 0.831 Spear. correl = 0.799 RMSE = 0.242 Likelihood = -0.412	Metric: T-CIEDE2000 Prediction map Pear. correl = 0.743 Spear. correl = 0.799 RMSE = 0.304 Likelihood = -0.634	Metric: T-sCIELab Prediction map Pear. correl = 0.781 Spear. correl = 0.814 RMSE = 0.261 Likelihood = -0.627	Metric: T-SSIM Prediction map Pear. correl = 0.759 Spear. correl = 0.804 RMSE = 0.256 Likelihood = -0.701	Metric: T-FSIM Prediction map Pear. correl = 0.881 Spear. correl = 0.686 RMSE = 0.153 Likelihood = -0.246	Metric: T-VSI Prediction map Pear. correl = 0.903 Spear. correl = 0.831 RMSE = 0.139 Likelihood = -0.243	Metric: T-Butteraugli Prediction map Pear. correl = 0.858 Spear. correl = 0.845 RMSE = 0.19 Likelihood = -0.439	Metric: T-HDR-VDP Prediction map Pear. correl = 0.838 Spear. correl = 0.821 RMSE = 0.24 Likelihood = -0.2	Metric: CNN Prediction map Pear. correl = 0.966 Spear. correl = 0.838 RMSE = 0.0812 Likelihood = -0.0572