Gaussian Grayscale Image Denoising on Urban100 (sigma=25)
31.55PSNRRestormer-Local
Evaluation results
| Method | Links | |
|---|---|---|
| Restormer-LocalModel Training=separate model for each noise level2021.12 | 31.55 | |
| Restormer-LocalModel Training=single model for various noise levels2021.12 | 31.48 | |
| RestormerModel Training=separate model for each noise level2021.12 | 31.46 | |
| RestormerModel Training=single model for various noise levels2021.12 | 31.39 | |
| DAGLModel Training=separate model for each noise level2021.12 | 31.39 | |
| SwinIRModel Training=separate model for each noise level2021.12 | 31.3 | |
| DRUNetModel Training=single model for various noise levels2021.12 | 31.11 | |
| NLRNModel Training=separate model for each noise level2021.12 | 30.94 | |
| DeamNetModel Training=separate model for each noise level2021.12 | 30.85 | |
| MWCNNModel Training=separate model for each noise level2021.12 | 30.66 | |
| FFDNetModel Training=single model for various noise levels2021.12 | 29.9 | |
| DnCNNModel Training=single model for various noise levels2021.12 | 29.8 | |
| IRCNNModel Training=single model for various noise levels2021.12 | 29.8 |