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Grayscale Image Denoising
Grayscale Image Denoising On Bsd68 Sigma15
Grayscale Image Denoising On Bsd68 Sigma15
Metrics
PSNR
Results
Performance results of various models on this benchmark
Columns
Model Name
PSNR
Paper Title
Repository
GCDN
31.83
Deep Graph-Convolutional Image Denoising
RIDNet
31.81
Real Image Denoising with Feature Attention
KBNet
31.98
KBNet: Kernel Basis Network for Image Restoration
Deep CNN Denoiser
31.63
Learning Deep CNN Denoiser Prior for Image Restoration
BUIFD75 (blind)
31.35
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
FFDNet
31.63
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
SwinIR
31.97
SwinIR: Image Restoration Using Swin Transformer
NLRN
31.88
Non-Local Recurrent Network for Image Restoration
TNRD
31.42
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
-
ADL
32.11
Adversarial Distortion Learning for Medical Image Denoising
Big-CDLNet
31.74
CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning
GroupCDL
31.82
Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary Learning
SwinIA
31.07
SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions
-
MWCNN
31.86
Multi-level Wavelet-CNN for Image Restoration
Index Network
31.23
Index Network
Restormer
31.96
Restormer: Efficient Transformer for High-Resolution Image Restoration
0 of 16 row(s) selected.
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