Denoising On Darmstadt Noise Dataset
Métriques
PSNR
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | PSNR | Paper Title | Repository |
|---|---|---|---|
| TNRD | 33.65 | Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration | - |
| NLRN | 30.8 | Non-Local Recurrent Network for Image Restoration | |
| MCWNNM | 37.38 | Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising | - |
| TWSC | 37.93 | A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising | - |
| Pixel-shuffling Downsampling | 38.4 | When AWGN-based Denoiser Meets Real Noises | |
| CDnCNN-B | 32.43 | Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising | |
| SINDy | 81 | Sparse learning of stochastic dynamic equations | |
| CBDNet(Syn) | 37.57 | Toward Convolutional Blind Denoising of Real Photographs | |
| FFDNet | 34.40 | FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising | |
| Han et al | 35.95 | k-Space Deep Learning for Accelerated MRI |
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