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Salt And Pepper Noise Removal On Bsd300 Noise
Métriques
PSNR
Résultats
Résultats de performance de divers modèles sur ce benchmark
| Paper Title | ||
|---|---|---|
| RTF-Net | 44.56 | Residual Transformer Fusion Network for Salt and Pepper Image Denoising |
| CNN (Median Layers) | 40.90 | Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations |
| Noise2Noise | 39.83 | Noise2Noise: Learning Image Restoration without Clean Data |
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