HyperAI超神经

Denoising On Darmstadt Noise Dataset

评估指标

PSNR

评测结果

各个模型在此基准测试上的表现结果

		Paper Title
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

0 of 10 row(s) selected.

HyperAI超神经

Denoising On Darmstadt Noise Dataset

评估指标

PSNR

评测结果

各个模型在此基准测试上的表现结果

		Paper Title
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

0 of 10 row(s) selected.

Denoising On Darmstadt Noise Dataset | SOTA | HyperAI超神经