Grayscale Image Denoising On Set12 Sigma15
Métriques
PSNR
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | PSNR |
|---|---|
| kbnet-kernel-basis-network-for-image | 33.40 |
| hierarchical-information-flow-for-generalized | 33.48 |
| multi-level-wavelet-cnn-for-image-restoration | 33.15 |
| non-local-recurrent-network-for-image | 33.16 |
| index-network | 32.82 |
| ffdnet-toward-a-fast-and-flexible-solution | 25.49 |
| deep-graph-convolutional-image-denoising | 33.14 |
| swinia-self-supervised-blind-spot-image | 30.37 |