Denoising On Darmstadt Noise Dataset

PSNR

Résultats

Résultats de performance de divers modèles sur ce benchmark

Tableau comparatif

Nom du modèle	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