Denoising On Darmstadt Noise Dataset
Metrics
PSNR
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | PSNR |
|---|---|
| trainable-nonlinear-reaction-diffusion-a | 33.65 |
| non-local-recurrent-network-for-image | 30.8 |
| multi-channel-weighted-nuclear-norm | 37.38 |
| a-trilateral-weighted-sparse-coding-scheme | 37.93 |
| when-awgn-based-denoiser-meets-real-noises | 38.4 |
| beyond-a-gaussian-denoiser-residual-learning | 32.43 |
| sparse-learning-of-stochastic-dynamic | 81 |
| toward-convolutional-blind-denoising-of-real | 37.57 |
| ffdnet-toward-a-fast-and-flexible-solution | 34.40 |
| k-space-deep-learning-for-accelerated-mri | 35.95 |