Salt And Pepper Noise Removal On Bsd300 Noise 2
Metrics
PSNR
Results
Performance results of various models on this benchmark
| Paper Title | ||
|---|---|---|
| RTF-Net | 34.96 | Residual Transformer Fusion Network for Salt and Pepper Image Denoising |
| CNN (Median Layers) | 32.4 | Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations |
| Noise2Noise | 31.42 | Noise2Noise: Learning Image Restoration without Clean Data |
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