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  4. Grayscale Image Denoising On Bsd68 Sigma50

Grayscale Image Denoising On Bsd68 Sigma50

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

模型名称
PSNR
Paper TitleRepository
N3Net26.39Neural Nearest Neighbors Networks-
BUIFD75 (blind)25.1Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning-
Index Network26.34Index Network-
GroupCDL26.47Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary Learning-
ADL26.87Adversarial Distortion Learning for Medical Image Denoising-
Deep CNN Denoiser26.19Learning Deep CNN Denoiser Prior for Image Restoration-
Big-CDLNet26.35CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning-
MWCNN26.53Multi-level Wavelet-CNN for Image Restoration-
NLRN26.47Non-Local Recurrent Network for Image Restoration-
FFDNet26.29FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising-
RIDNet26.4Real Image Denoising with Feature Attention-
Residual Dense Network +26.43Residual Dense Network for Image Restoration-
KBNet26.65KBNet: Kernel Basis Network for Image Restoration-
SwinIA26.61SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions-
GCDN26.38Deep Graph-Convolutional Image Denoising-
0 of 15 row(s) selected.
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