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

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

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．