# Quality Assessment of HDR/WCG Images Using HDR Uniform Color Spaces
## Appendix B Performance Indexes
\begin{table}
\begin{tabular}{l c c c c c} \hline \hline Quality Metric & **4 Kdtb** & **HDdtb** & **[PERSON] et al.** & **[PERSON] et al.** & **[PERSON] et al.** \\ \hline PU-PSNR & 0.7261 & 0.7802 & 0.5331 & 0.8597 & 0.8266 \\ PSNR\({}_{HDR-Lab_{100}}\) & 0.6596 & 0.7751 & 0.4975 & 0.8602 & 0.8147 \\ PSNR\({}_{HDR-Lab_{100}}\) & 0.4673 & 0.7587 & 0.4197 & 0.8078 & 0.7086 \\ PSNR\({}_{ICCp}\) & 0.7419 & 0.7745 & 0.5736 & 0.8742 & 0.8508 \\ PSNR\({}_{J_{2}a_{2}b_{2}}\) & 0.5531 & 0.6933 & 0.4634 & 0.8102 & 0.7001 \\ PSNR\({}_{XYZ}\) & 0.2131 & 0.6311 & 0.4601 & 0.7216 & 0.5682 \\ PSNR\({}_{Y^{\prime}C^{\prime}C^{\prime}}\)\({}^{\text{C}P^{\prime}}\) & 0.2519 & 0.6687 & 0.4157 & 0.7756 & 0.6493 \\ \hline PU-SSIM & 0.7066 & 0.8430 & 0.7240 & 0.9280 & 0.8316 \\ SSIM\({}_{2100}\) & 0.6977 & 0.8355 & 0.7494 & 0.9253 & 0.8090 \\ SSIM\({}_{HDR-Lab_{1000}}\) & 0.6054 & 0.7904 & 0.7247 & 0.9085 & 0.6851 \\ SSIM\({}_{ICCp}\) & 0.6752 & 0.8245 & 0.7231 & 0.9307 & 0.8618 \\ SSIM\({}_{J_{1}a_{2}b_{2}}\) & 0.6492 & 0.7813 & 0.7721 & 0.9181 & 0.7073 \\ SSIM\({}_{XYZ}\) & 0.1965 & 0.6488 & 0.5938 & 0.7746 & 0.5065 \\ SSIM\({}_{Y^{\prime}C^{\prime}C^{\prime}C^{\prime}}\)\({}^{\text{C}P^{\prime}}\) & 0.3027 & 0.6926 & 0.6376 & 0.8421 & 0.5563 \\ \hline PU-MS-SSIM & 0.8517 & 0.8640 & 0.8656 & 0.9583 & 0.9165 \\ MS-SSIM\({}_{HDR-Lab_{100}}\) & 0.8448 & 0.8708 & 0.8200 & 0.9567 & 0.9143 \\ MS-SSIM\({}_{IIDR-Lab_{1000}}\) & 0.7684 & 0.8505 & 0.8528 & 0.9600 & 0.7791 \\ MS-SSIM\({}_{JCCp}\) & 0.8447 & 0.8464 & 0.8714 & 0.9529 & 0.9260 \\ MS-SSIM\({}_{J_{1}a_{2}b_{2}}\) & 0.8306 & 0.8557 & 0.9088 & 0.9648 & 0.8109 \\ MS-SSIM\({}_{XYZ}\) & 0.4334 & 0.6864 & 0.6092 & 0.8646 & 0.6104 \\ MS-SSIM\({}_{Y^{\prime}C^{\prime}C^{\prime}C^{\prime}}\)\({}^{\text{C}P^{\prime}}\) & 0.5202 & 0.7296 & 0.6846 & 0.9124 & 0.6499 \\ \hline PU-FSIM & 0.9054 & 0.8149 & 0.8773 & 0.9553 & 0.8912 \\ FSIM\({}_{HDR-Lab_{100}}\) & 0.8994 & 0.8239 & 0.8726 & 0.9553 & 0.9091 \\ FSIM\({}_{HDR-Lab_{1000}}\) & 0.8420 & 0.8799 & 0.8195 & 0.9692 & 0.9087 \\ FSIM\({}_{MICCp}\) & 0.9049 & 0.8099 & 0.8654 & 0.9477 & 0.8863 \\ FSIM\({}_{J_{1}a_{2}b_{2}}\) & 0.8849 & 0.9069 & 0.8466 & 0.9663 & 0.9031 \\ FSIM\({}_{XYZ}\) & 0.5732 & 0.7546 & 0.6316 & 0.8986 & 0.7393 \\ FSIM\({}_{Y^{\prime}C^{\prime}C^{\prime}C^{\prime}}\)\({}^{\text{C}P^{\prime}}\) & 0.7052 & 0.8153 & 0.7264 & 0.9415 & 0.8190 \\ \hline PU-PSNR-HVS-M & 0.8401 & 0.7803 & 0.5624 & 0.9331 & 0.9035 \\ PSNR-HVS-M\({}_{HDDR-Lab_{100}}\) & 0.8110 & 0.7856 & 0.5455 & 0.9333 & 0.9028 \\ PSNR-HVS-M\({}_{HDDR-Lab_{1000}}\) & 0.6607 & 0.7508 & 0.4557 & 0.9311 & 0.8486 \\ PSNR-HVS-M\({}_{ICCp}\) & 0.8452 & 0.7554 & 0.5846 & 0.9308 & 0.9066 \\ PSNR-HVS-M\({}_{J_{1}a_{2}b_{2}}\) & 0.7315 & 0.6501 & 0.4963 & 0.9230 & 0.8286 \\ PSNR-HVS-M\({}_{Y^{\prime}C^{\prime}C^{\prime}}\)\({}^{\text{C}P^{\prime}}\) & 0.2891 & 0.6314 & 0.4392 & 0.8449 & 0.6793 \\ PSNR-HVS-M\({}_{Y^{\prime}C^{\prime}C^{\prime}C^{\prime}}\)\({}^{\text{C}P^{\prime}}\) & 0.3922 & 0.6670 & 0.4157 & 0.9102 & 0.7954 \\ \hline PU-PSNR-HMA & 0.8403 & 0.8218 & 0.7634 & 0.9369 & 0.9041 \\ PSNR-HMA\({}_{HDR-Lab_{100}}\) & 0.8114 & 0.8167 & 0.7458 & 0.9365 & 0.9034 \\ PSNR-HMA\({}_{HDR-Lab_{1000}}\) & 0.6607 & 0.7984 & 0.6907 & 0.9384 & 0.8493 \\ PSNR-HMA\({}_{ICCp}\) & 0.8455 & 0.8011 & 0.7696 & 0.9343 & 0.9076 \\ PSNR-HMA\({}_{J_{1}a_{2}b_{2}}\) & 0.7287 & 0.7664 & 0.7094 & 0.9339 & 0.8294 \\ PSNR-HMA\({}_{XYZ}\) & 0.2895 & 0.6773 & 0.4979 & 0.8692 & 0.6831 \\ PSNR-HMA\({}_{Y^{\prime}C^{\prime}C^{\prime}C^{\prime}}\)\({}^{\text{C}P^{\prime}}\) & 0.3926 & 0.7160 & 0.6246 & 0.9236 & 0.7954 \\ \hline HDR-VDP2 & 0.8678 & 0.8685 & 0.8906 & 0.9516 & 0.9289 \\ HDR-VQM & 0.7735 & 0.8330 & 0.8995 & 0.9572 & 0.9170 \\ PU-VF & 0.8658 & 0.7464 & 0.7704 & 0.9322 & 0.8863 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: SROCC of the different color-blind quality metrics on the considered databases.