# 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 & 0.6354 & 0.5729 & 0.7714 & 0.5833 & 0.6400 \\ \(\text{PSNR}_{HDR-Lab_{100}}\) & 0.6458 & 0.5833 & 0.8857 & 0.6042 & 0.6800 \\ \(\text{PSNR}_{HDR-Lab_{100}}\) & 0.6563 & 0.5625 & 0.7714 & 0.6667 & 0.7000 \\ \(\text{PSNR}_{ICCp}\) & 0.5938 & 0.5833 & 0.7786 & 0.5958 & 0.6100 \\ \(\text{PSNR}_{J_{2}a_{2}b_{2}}\) & 0.6563 & 0.6042 & 0.8143 & 0.6500 & 0.7400 \\ \(\text{PSNR}_{XYZ}\) & 0.6875 & 0.6354 & 0.8429 & 0.8125 & 0.7700 \\ \(\text{PSNR}_{Y^{\prime}C^{\prime}C\bar{b}^{\prime}}\) & 0.6979 & 0.6042 & 0.7714 & 0.7583 & 0.7300 \\ \hline PU-SSIM & 0.6354 & 0.4792 & 0.7786 & 0.4792 & 0.6500 \\ \(\text{SSIM}_{HDR-Lab_{100}}\) & 0.5938 & 0.4792 & 0.7857 & 0.4792 & 0.6500 \\ \(\text{SSIM}_{HDR-Lab_{1000}}\) & 0.6458 & 0.4896 & 0.7571 & 0.5875 & 0.7100 \\ \(\text{SSIM}_{ICICP}\) & 0.5833 & 0.5417 & 0.7929 & 0.4875 & 0.6700 \\ \(\text{SSIM}_{J_{1}a_{2}b_{2}}\) & 0.6771 & 0.5000 & 0.7500 & 0.5542 & 0.6900 \\ \(\text{SSIM}_{XYZ}\) & 0.7083 & 0.6562 & 0.8071 & 0.7333 & 0.8700 \\ \(\text{SSIM}_{Y^{\prime}C^{\prime}C\bar{b}^{\prime}}\) & 0.6979 & 0.5625 & 0.8286 & 0.7000 & 0.8000 \\ \hline PU-MS-SSIM & 0.4063 & 0.5104 & 0.6786 & 0.3667 & 0.5000 \\ \(\text{MS-SSIM}_{HDR-Lab_{100}}\) & 0.4375 & 0.4792 & 0.7357 & 0.3915 & 0.5400 \\ \(\text{MS-SSIM}_{HDR-Lab_{1000}}\) & 0.5000 & 0.4792 & 0.7143 & 0.3708 & 0.7000 \\ \(\text{MS-SSIM}_{JC1 Cp}\) & 0.4479 & 0.5521 & 0.6500 & 0.3958 & 0.4600 \\ \(\text{MS-SSIM}_{J_{2}a_{2}b_{2}}\) & 0.4271 & 0.5729 & 0.6857 & 0.3500 & 0.6900 \\ \(\text{MS-SSIM}_{XYZ}\) & 0.6875 & 0.6250 & 0.8143 & 0.6333 & 0.8100 \\ \(\text{MS-SSIM}_{Y^{\prime}C^{\prime}C\bar{b}^{\prime}}\) & 0.6667 & 0.5625 & 0.7929 & 0.5667 & 0.7900 \\ \hline PU-FSIM & 0.3545 & 0.5000 & 0.6143 & 0.4167 & 0.5000 \\ \(\text{FSIM}_{HDR-Lab_{100}}\) & 0.3750 & 0.5208 & 0.6714 & 0.4500 & 0.4400 \\ \(\text{FSIM}_{MDR-Lab_{1000}}\) & 0.4479 & 0.5313 & 0.6357 & 0.3333 & 0.5300 \\ \(\text{FSIM}_{MICCp}\) & 0.3229 & 0.5000 & 0.6714 & 0.4667 & 0.5200 \\ \(\text{FSIM}_{J_{2}a_{2}b_{2}}\) & 0.4167 & 0.5104 & 0.6500 & 0.3250 & 0.5900 \\ \(\text{FSIM}_{XYZ}\) & 0.6562 & 0.5938 & 0.7714 & 0.5625 & 0.7800 \\ \(\text{FSIM}_{Y^{\prime}C^{\prime}C\bar{b}^{\prime}}\) & 0.5833 & 0.5625 & 0.6786 & 0.4667 & 0.6900 \\ \hline PU-PSNR-HVS-M & 0.4896 & 0.6563 & 0.7500 & 0.5875 & 0.6600 \\ \(\text{PSNR}_{HVS-M}_{HDR-Lab_{100}}\) & 0.4583 & 0.6250 & 0.7643 & 0.5875 & 0.6400 \\ \(\text{PSNR}_{HVS-M}_{J_{1}b_{2}a_{2}b_{2}}\) & 0.5938 & 0.6458 & 0.8071 & 0.5333 & 0.6600 \\ \(\text{PSNR}_{HVS-M}_{J_{1}a_{2}b_{2}}\) & 0.4583 & 0.7083 & 0.7857 & 0.5125 & 0.5900 \\ \(\text{PSNR}_{HVS-M}_{J_{1}a_{2}b_{2}}\) & 0.5521 & 0.6875 & 0.7571 & 0.5750 & 0.6700 \\ \(\text{PSNR}_{HVS-M}_{XYZ}\) & 0.6979 & 0.6354 & 0.8500 & 0.7042 & 0.7600 \\ \(\text{PSNR}_{HVS-M}_{Y^{\prime}C^{\prime}C\bar{b}^{\prime}}\) & 0.6667 & 0.6771 & 0.8214 & 0.5875 & 0.7200 \\ \hline PU-PSNR-HMA & 0.4167 & 0.7188 & 0.8071 & 0.5125 & 0.6200 \\ \(\text{PSNR}_{HHMA}_{HDR-Lab_{100}}\) & 0.4792 & 0.7083 & 0.7786 & 0.5292 & 0.6100 \\ \(\text{PSNR}_{HHMA}_{HDR-Lab_{100}}\) & 0.5833 & 0.6667 & 0.7571 & 0.4625 & 0.6500 \\ \(\text{PSNR}_{HHMA}_{ICCP}\) & 0.4271 & 0.6667 & 0.7643 & 0.5375 & 0.5700 \\ \(\text{PSNR}_{HHA}_{J_{2}a_{2}b_{2}}\) & 0.6032 & 0.5938 & 0.7643 & 0.5292 & 0.6800 \\ \(\text{PSNR}_{HHA}_{XYZ}\) & 0.6979 & 0.6146 & 0.8429 & 0.6833 & 0.7500 \\ \(\text{PSNR}_{HHA}_{Y^{\prime}C^{\prime}C\bar{b}^{\prime}}\) & 0.6667 & 0.5833 & 0.7857 & 0.6333 & 0.7100 \\ \hline HDR-VDP2 & 0.3545 & 0.4576 & 0.6250 & 0.3708 & 0.4400 \\ HDR-VQM & 0.5313 & 0.5616 & 0.9061 & 0.392 & 0.5300 \\ PU-VF & 0.4063 & 0.5938 & 0.7571 & 0.5833 & 0.5500 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: OR of the different color-blind quality metrics on the considered databases.