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Grayscale Image Denoising
Grayscale Image Denoising On Bsd68 Sigma50
Grayscale Image Denoising On Bsd68 Sigma50
Metrics
PSNR
Results
Performance results of various models on this benchmark
Columns
Model Name
PSNR
Paper Title
ADL
26.87
Adversarial Distortion Learning for Medical Image Denoising
KBNet
26.65
KBNet: Kernel Basis Network for Image Restoration
SwinIA
26.61
SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions
MWCNN
26.53
Multi-level Wavelet-CNN for Image Restoration
GroupCDL
26.47
Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary Learning
NLRN
26.47
Non-Local Recurrent Network for Image Restoration
Residual Dense Network +
26.43
Residual Dense Network for Image Restoration
RIDNet
26.4
Real Image Denoising with Feature Attention
N3Net
26.39
Neural Nearest Neighbors Networks
GCDN
26.38
Deep Graph-Convolutional Image Denoising
Big-CDLNet
26.35
CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning
Index Network
26.34
Index Network
FFDNet
26.29
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
Deep CNN Denoiser
26.19
Learning Deep CNN Denoiser Prior for Image Restoration
BUIFD75 (blind)
25.1
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
0 of 15 row(s) selected.
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Grayscale Image Denoising On Bsd68 Sigma50 | SOTA | HyperAI