Image Denoising on Kodak24 Speckle noise
31.22PSNROurs
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| OursNoise level (sigma^2)=0.022023.03 | 31.22 | 0.8739 | 0.1594 | |
| RIDNetNoise level (sigma^2)=0.022023.03 | 31.01 | 0.8337 | 0.1665 | |
| OursNoise level (sigma^2)=0.0242023.03 | 30.81 | 0.8617 | 0.1683 | |
| DnCNNNoise level (sigma^2)=0.022023.03 | 30.74 | 0.8281 | 0.1806 | |
| OursNoise level (sigma^2)=0.032023.03 | 30.2 | 0.8412 | 0.1849 | |
| RNANNoise level (sigma^2)=0.022023.03 | 30.15 | 0.8101 | 0.166 | |
| DropoutNoise level (sigma^2)=0.022023.03 | 29.97 | 0.8382 | 0.1709 | |
| RestormerNoise level (sigma^2)=0.022023.03 | 29.95 | 0.8135 | 0.1521 | |
| baselineNoise level (sigma^2)=0.022023.03 | 29.84 | 0.8016 | 0.1778 | |
| SwinIRNoise level (sigma^2)=0.022023.03 | 29.64 | 0.7939 | 0.1555 | |
| RIDNetNoise level (sigma^2)=0.0242023.03 | 29.51 | 0.7916 | 0.1944 | |
| DnCNNNoise level (sigma^2)=0.0242023.03 | 29.31 | 0.7891 | 0.2082 | |
| OursNoise level (sigma^2)=0.042023.03 | 29.1 | 0.8 | 0.2248 | |
| DropoutNoise level (sigma^2)=0.0242023.03 | 29.03 | 0.8041 | 0.1974 | |
| RestormerNoise level (sigma^2)=0.0242023.03 | 28.84 | 0.781 | 0.1767 | |
| RNANNoise level (sigma^2)=0.0242023.03 | 28.59 | 0.7662 | 0.1972 | |
| baselineNoise level (sigma^2)=0.0242023.03 | 28.34 | 0.7608 | 0.2082 | |
| SwinIRNoise level (sigma^2)=0.0242023.03 | 28.16 | 0.7514 | 0.1851 | |
| DropoutNoise level (sigma^2)=0.032023.03 | 27.77 | 0.757 | 0.2413 | |
| RIDNetNoise level (sigma^2)=0.032023.03 | 27.57 | 0.7331 | 0.2436 | |
| RestormerNoise level (sigma^2)=0.032023.03 | 27.5 | 0.7395 | 0.2113 | |
| DnCNNNoise level (sigma^2)=0.032023.03 | 27.49 | 0.7353 | 0.2533 | |
| RNANNoise level (sigma^2)=0.032023.03 | 26.76 | 0.7101 | 0.2449 | |
| baselineNoise level (sigma^2)=0.032023.03 | 26.56 | 0.7071 | 0.2536 | |
| SwinIRNoise level (sigma^2)=0.032023.03 | 26.43 | 0.6981 | 0.2305 | |
| DropoutNoise level (sigma^2)=0.042023.03 | 26.14 | 0.6925 | 0.311 | |
| RestormerNoise level (sigma^2)=0.042023.03 | 25.66 | 0.6839 | 0.2649 | |
| DnCNNNoise level (sigma^2)=0.042023.03 | 25.22 | 0.662 | 0.3292 | |
| RIDNetNoise level (sigma^2)=0.042023.03 | 25.17 | 0.6554 | 0.3212 | |
| RNANNoise level (sigma^2)=0.042023.03 | 24.59 | 0.6377 | 0.3203 | |
| baselineNoise level (sigma^2)=0.042023.03 | 24.44 | 0.6367 | 0.3242 | |
| SwinIRNoise level (sigma^2)=0.042023.03 | 24.37 | 0.6298 | 0.3004 |