Grayscale Image Denoising On Bsd68 Sigma15

Metrics

PSNR

Results

Performance results of various models on this benchmark

		Paper Title
ADL	32.11	Adversarial Distortion Learning for Medical Image Denoising
KBNet	31.98	KBNet: Kernel Basis Network for Image Restoration
SwinIR	31.97	SwinIR: Image Restoration Using Swin Transformer
Restormer	31.96	Restormer: Efficient Transformer for High-Resolution Image Restoration
NLRN	31.88	Non-Local Recurrent Network for Image Restoration
MWCNN	31.86	Multi-level Wavelet-CNN for Image Restoration
GCDN	31.83	Deep Graph-Convolutional Image Denoising
GroupCDL	31.82	Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary Learning
RIDNet	31.81	Real Image Denoising with Feature Attention
Big-CDLNet	31.74	CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning
Deep CNN Denoiser	31.63	Learning Deep CNN Denoiser Prior for Image Restoration
FFDNet	31.63	FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
TNRD	31.42	Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
BUIFD75 (blind)	31.35	Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
Index Network	31.23	Index Network
SwinIA	31.07	SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions

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