To remove noise add to the image,the program uses a learning dictionary and the clustering structure,finally lead to the good results! !

CSR_Denoising
.............\Data
.............\....\images
.............\....\......\Lena512.tif
.............\....\......\Monarch_full.tif
.............\....\......\barbara.tif
.............\....\......\boat.tif
.............\....\......\cameraman.tif
.............\....\......\couple.tif
.............\....\......\fingerprint.tif
.............\....\......\hill.tif
.............\....\......\house.tif
.............\....\......\man.tif
.............\....\......\peppers256.tif
.............\....\......\straw.tif
.............\....\......\textures
.............\....\......\........\hex.tif
.............\Denoising_Main.m
.............\Results
.............\.......\Denoising_results
.............\.......\.................\nsig_20
.............\.......\.................\.......\CSR_de_Lena512.tif
.............\.......\.................\.......\CSR_de_Monarch_full.tif
.............\.......\.................\.......\CSR_de_PSNR_SSIM.txt
.............\.......\.................\.......\PCA_CSR_PSNR_SSIM.txt
.............\.......\tmp.tif
.............\Utilities
.............\.........\Add_noise.m
.............\.........\CSR_Denoising.m
.............\.........\CSR_Thresholding.m
.............\.........\Clustering_PCA_New.m
.............\.........\Image_Denoising.m
.............\.........\Proc_cls_idx.m
.............\.........\Set_PCA_idx.m
.............\.........\Soft_PCA.m
.............\.........\cal_ssim.m
.............\.........\csnr.m
.............\.........\ext_im.m
.............\.........\find_blks.m
.............\.........\find_blks_fast.m
.............\.........\find_blks_fast2.m
.............\.........\getpca.m
.............\.........\soft.m

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