Description: low rankdenoise an image by sparsely representing each block with the
already overcomplete trained Dictionary, and averaging the represented parts.
Detailed description can be found in "Image Denoising Via Sparse and Redundant
representations over Learned Dictionaries
To Search:
File list (Check if you may need any files):
low rank ksvd
.............\Data
.............\....\images
.............\....\......\barbara.tif
.............\....\......\textures
.............\....\......\........\boat.tif
.............\....\......\........\cameraman.tif
.............\....\......\........\couple.tif
.............\....\......\........\fingerprint.tif
.............\....\......\........\hex.tif
.............\....\......\........\hill.tif
.............\....\......\........\house.tif
.............\....\......\........\Lena512.tif
.............\....\......\........\man.tif
.............\....\......\........\Monarch_full.tif
.............\....\......\........\peppers256.tif
.............\....\......\........\straw.tif
.............\Denoising_Main.m
.............\Results
.............\.......\Denoising_results
.............\.......\.................\nsig_20
.............\.......\.................\.......\CSR_de_barbara.tif
.............\.......\.................\.......\CSR_de_Lena512.tif
.............\.......\.................\.......\CSR_de_PSNR_SSIM.txt
.............\.......\.................\.......\PCA_CSR_PSNR_SSIM.txt
.............\.......\tmp.tif
.............\Utilities
.............\.........\Add_noise.m
.............\.........\cal_ssim.m
.............\.........\castle.png
.............\.........\Clustering_New.m
.............\.........\csnr.m
.............\.........\CSR_Denoising.asv
.............\.........\CSR_Denoising.m
.............\.........\CSR_Thresholding.m
.............\.........\demo.m
.............\.........\demonfornonh.asv
.............\.........\demonfornonh.m
.............\.........\denoiseImageKSVDNONH.asv
.............\.........\denoiseImageKSVDNONH.m
.............\.........\denoiseImageKSVDRGBNONH.m
.............\.........\find_blks_fast.m
.............\.........\Image_Denoising.m
.............\.........\I_findBetterDictionaryElement.m
.............\.........\KSVDNONH.m
.............\.........\my_im2col.m
.............\.........\NHNOISE.m
.............\.........\NH_NOISE.m
.............\.........\NH_NOISE2.m
.............\.........\OMPerrNONH.m
.............\.........\OMPerrNONHtest.m
.............\.........\omp_single.m
.............\.........\OutImage.m
.............\.........\Proc_cls_idx.m
.............\.........\psnr.m
.............\.........\solve_l1l2.m
.............\.........\weirank.m
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