Table 6 Performance comparisons of the proposed method on natural image datasets and screen content image datasets.
From: Underwater image quality assessment method based on color space multi-feature fusion
 | Method | LIVE | TID2013 | SIQAD | LIVEMD |
---|---|---|---|---|---|
SROCC | SSIM | 0.9269 | 0.6370 | 0.7521 | 0.6786 |
PSNR | 0.8756 | 0.5531 | 0.5608 | 0.6771 | |
FSIM | 0.9610 | 0.8015 | 0.5819 | 0.6835 | |
VIF | 0.9639 | 0.6679 | 0.6314 | 0.8823 | |
SSEQ | 0.9033 | 0.6162 | 0.7287 | 0.8667 | |
BIQI | 0.8796 | 0.4939 | 0.7320 | 0.8905 | |
NMFC | 0.9369 | 0.6735 | 0.7458 | 0.8742 | |
KROCC | SSIM | 0.7526 | 0.4636 | 0.5543 | 0.5006 |
PSNR | 0.6865 | 0.4027 | 0.4226 | 0.5003 | |
FSIM | 0.8379 | 0.6289 | 0.4250 | 0.6727 | |
VIF | 0.8282 | 0.5147 | 0.4577 | 0.6969 | |
SSEQ | 0.7364 | 0.4490 | 0.5393 | 0.6832 | |
BIQI | 0.7312 | 0.3493 | 0.5436 | 0.7174 | |
NMFC | 0.7957 | 0.4940 | 0.5559 | 0.6855 | |
PLCC | SSIM | 0.9243 | 0.6524 | 0.7461 | 0.6198 |
PSNR | 0.8723 | 0.5734 | 0.5508 | 0.7716 | |
FSIM | 0.9597 | 0.8589 | 0.5902 | 0.8359 | |
VIF | 0.9604 | 0.7720 | 0.7066 | 0.9144 | |
SSEQ | 0.9017 | 0.6943 | 0.7704 | 0.8805 | |
BIQI | 0.8823 | 0.5935 | 0.7740 | 0.9052 | |
NMFC | 0.9404 | 0.7191 | 0.7830 | 0.8829 |