Research Article
Total Variation Based Perceptual Image Quality Assessment Modeling
Table 2
Average performance over four databases.
| Metric | CC | SRCC | KRCC |
| Database size-weighted average without contrast distortion | PSNR | 0.6547 | 0.6938 | 0.5275 | SSIM [1] | 0.7837 | 0.8381 | 0.6479 | TVPIQA | 0.8723 | 0.9017 | 0.7265 | IW-PSNR [4] | 0.7429 | 0.8439 | 0.6748 | IW-SSIM [4] | 0.8234 | 0.9005 | 0.7257 | MS-SSIM [14] | 0.8156 | 0.8973 | 0.7164 | VSNR [7] | 0.5205 | 0.8389 | 0.6562 | VIF [5] | 0.8114 | 0.7993 | 0.6368 |
| Database size-weighted average with all distorted images | PSNR | 0.6616 | 0.6968 | 0.5284 | SSIM [1] | 0.7731 | 0.8249 | 0.6358 | TVPIQA | 0.8666 | 0.8933 | 0.7201 | IW-PSNR [4] | 0.7437 | 0.8371 | 0.6682 | IW-SSIM [4] | 0.8247 | 0.8929 | 0.7203 | MS-SSIM [14] | 0.8170 | 0.8904 | 0.7119 | VSNR [7] | 0.5307 | 0.8253 | 0.6442 | VIF [5] | 0.8186 | 0.8055 | 0.6406 |
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