Image Denoising on CAMUS
38.8399PSNRPrior-guided Hierarchical Instance-pixel Contrastive Learning
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Prior-guided Hierarchical Instance-pixel Contrastive Learningnoise level (sigma)=0.252026.02 | 38.8399 | 0.9842 | 2.8928 | |
| Uformernoise level (sigma)=0.252026.02 | 38.5574 | 0.9815 | 2.9227 | |
| Restormernoise level (sigma)=0.252026.02 | 38.4462 | 0.9805 | 3.1848 | |
| UNetnoise level (sigma)=0.252026.02 | 38.1121 | 0.9816 | 3.0182 | |
| DnCNNnoise level (sigma)=0.252026.02 | 36.7261 | 0.9773 | 3.2945 | |
| Prior-guided Hierarchical Instance-pixel Contrastive Learningnoise level (sigma)=0.52026.02 | 34.7329 | 0.9612 | 4.0132 | |
| DnCNNnoise level (sigma)=0.52026.02 | 34.6723 | 0.9591 | 4.0224 | |
| SwinIRnoise level (sigma)=0.252026.02 | 34.5439 | 0.9689 | 4.4822 | |
| Restormernoise level (sigma)=0.52026.02 | 34.517 | 0.9584 | 4.1875 | |
| Uformernoise level (sigma)=0.52026.02 | 34.516 | 0.9591 | 4.1921 | |
| UNetnoise level (sigma)=0.52026.02 | 34.4947 | 0.9577 | 4.2414 | |
| SwinIRnoise level (sigma)=0.52026.02 | 34.1665 | 0.9556 | 4.3323 | |
| Prior-guided Hierarchical Instance-pixel Contrastive Learningnoise level (sigma)=0.752026.02 | 33.8249 | 0.9435 | 4.3495 | |
| SwinIRnoise level (sigma)=0.752026.02 | 33.7896 | 0.9429 | 4.4731 | |
| Uformernoise level (sigma)=0.752026.02 | 33.5542 | 0.9389 | 4.4211 | |
| Restormernoise level (sigma)=0.752026.02 | 33.5354 | 0.9385 | 4.4654 | |
| UNetnoise level (sigma)=0.752026.02 | 33.4131 | 0.9405 | 4.4913 | |
| DnCNNnoise level (sigma)=0.752026.02 | 33.1491 | 0.936 | 4.5809 | |
| RED-CNNnoise level (sigma)=0.252026.02 | 29.8887 | 0.8778 | 5.4783 | |
| RED-CNNnoise level (sigma)=0.52026.02 | 29.292 | 0.9029 | 5.3683 | |
| BM3Dnoise level (sigma)=0.52026.02 | 28.6314 | 0.8139 | 7.6498 | |
| RED-CNNnoise level (sigma)=0.752026.02 | 28.1246 | 0.8724 | 5.8272 | |
| BM3Dnoise level (sigma)=0.252026.02 | 27.9196 | 0.8264 | 7.6514 | |
| BM3Dnoise level (sigma)=0.752026.02 | 27.6144 | 0.8065 | 7.9549 |