This is collection of matlab tool for image denoising benchmark. Current supported tools are
- ACPT "Detail-Preserving Image Denoising via Adaptive Clustering and Progressive PCA Thresholding," in IEEE Access,2018
- ACVA "Texture variation adaptive image denoising with nonlocal PCA", TIP 2018.
- AST-NLS Image Denoising via Adaptive Soft-Thresholding Based on Non-Local Samples, CVPR 2015
- BM3D Image restoration by sparse 3D transform-domain collaborative filtering (SPIE Electronic Imaging 2008), Dabov et al.
- DnCNN Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising, TIP 2018.
- GGMM-EPLL Image denoising with generalized Gaussian mixture model patch priors, SIAM JIS 2018.
- GSRC ICIP 2016.
- KSVD TIP 2016.
- MultiScaleEPLL Multi-Scale Patch-Based Image Restoration, TIP 2016.
- NCSR TIP 2012.
- NLH: "NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising", TIP 2020 (github.com/njusthyk1972/NLH). Only Gray denoising is used with given sigma.
- PGDP Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising, ICCV 2015
- SSC_GSRM Image Restoration via Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian Scale Mixture, IJVC 2015
- TWSC A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018
- WNNN Weighted Nuclear Norm Minimization with Application to Image Denoising (CVPR2014), Gu et al.