Image Quality Assessment on LIVE (full)
0.949PLCCVIF
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| VIF2024.12 | 0.949 | — | 0.953 | |
| Our-VGGBackbone=VGG [29], Mode=Training-free2024.12 | 0.929 | — | 0.932 | |
| Our-EffNetBackbone=EfficientNet [31], Mode=Training-free2024.12 | 0.927 | — | 0.932 | |
| DISTS2024.12 | 0.924 | — | 0.925 | |
| Our-ResNetBackbone=ResNet-50 [8], Mode=Training-free2024.12 | 0.914 | — | 0.921 | |
| FSIM2024.12 | 0.91 | — | 0.92 | |
| GMSD2024.12 | 0.909 | — | 0.91 | |
| MAD2024.12 | 0.904 | — | 0.907 | |
| DeepWSD2024.12 | 0.904 | — | 0.925 | |
| MS-SSIM2024.12 | 0.886 | — | 0.903 | |
| NLPD2024.12 | 0.882 | — | 0.889 | |
| TOPIQ-FR2024.12 | 0.882 | — | 0.887 | |
| VSI2024.12 | 0.877 | — | 0.899 | |
| PieAPPTraining Dataset=PieAPP [23]2024.12 | 0.866 | — | 0.865 | |
| LPIPSTraining Dataset=LPIPS [39]2024.12 | 0.866 | — | 0.863 | |
| SSIM2024.12 | 0.847 | — | 0.851 | |
| PSNR2024.12 | 0.781 | — | 0.801 | |
| ADD-GSIM2016.08 | — | 7 | — | |
| FSIMc2016.08 | — | 0 | — | |
| GMSD2016.08 | — | -1 | — | |
| MAD2016.08 | — | 7 | — | |
| MDSI2016.08 | — | 7 | — | |
| SCQI2016.08 | — | -9 | — | |
| SFF2016.08 | — | 2 | — | |
| SR SIM2016.08 | — | -5 | — | |
| VIF2016.08 | — | -1 | — | |
| VSI2016.08 | — | -7 | — |