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Denoising On Darmstadt Noise Dataset

Metrics

PSNR

Results

Performance results of various models on this benchmark

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

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Denoising On Darmstadt Noise Dataset | SOTA | HyperAI