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- Wavelet-based soft/hard thresholding and TI denoising Wavelab
- Spatially adaptive image denoising under overcomplete expansion SA-OE
- Low-complexity image denoising based on statistical modeling of wavelet coefficients code
- Bayesian Least-Square Gaussian Scalar Mixture BLS-GSM
- Wavelet-domain HMM for image denoising WHMT
- Fields of experts model for image denoising FoE
- Learning sparse representation for image denoising K-SVD
- Shape adaptive DCT based image denoising SA-DCT
- Nonlocal mean based image denoising code code2
- Block matching 3D (BM3D) image denoising BM3D
- Product of Edgeperts denoising PoEdges
- Total Least-Square (TLS) image denoising TLS
- AVMF color image denoising AVMF
- Multiscle LMMSE-based image denoising code
- Kernel regression based image denoising code
- Belief propagation for image restoration code
- Gaussian Field-of-Expert (GFoE) denoising code
- Active random field learning code
- Clustering-based Denoising using Locally Learned Dictionaries (K-LLD)
- Local Pixel Grouping (LPG)-PCA image denoising
- Leaning simultaneous sparsity coding (LSSC) code (only runs on 64-bit Linux machine with MATLAB)
- Learning Non-Local Range Markov Random Field for Image Restoration code
- Image denoising via dictionary learning and structural clustering
- From Learning Models of Natural Image Patches to Whole Image Restoration code
