文件名称:CSR_Denoising
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- 上传时间：2014-10-19
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文件大小：1.98mb
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已下载：1次
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本程序使用结构聚类和字典学习对图像去噪声，完整代码和示例，不错的效果-To remove noise add to the image,the program uses a learning dictionary and the clustering structure,finally lead to the good results! !
(系统自动生成,下载前可以参看下载内容)
下载文件列表
CSR_Denoising/
CSR_Denoising/Data/
CSR_Denoising/Data/images/
CSR_Denoising/Data/images/Lena512.tif
CSR_Denoising/Data/images/Monarch_full.tif
CSR_Denoising/Data/images/barbara.tif
CSR_Denoising/Data/images/boat.tif
CSR_Denoising/Data/images/cameraman.tif
CSR_Denoising/Data/images/couple.tif
CSR_Denoising/Data/images/fingerprint.tif
CSR_Denoising/Data/images/hill.tif
CSR_Denoising/Data/images/house.tif
CSR_Denoising/Data/images/man.tif
CSR_Denoising/Data/images/peppers256.tif
CSR_Denoising/Data/images/straw.tif
CSR_Denoising/Data/images/textures/
CSR_Denoising/Data/images/textures/hex.tif
CSR_Denoising/Denoising_Main.m
CSR_Denoising/Results/
CSR_Denoising/Results/Denoising_results/
CSR_Denoising/Results/Denoising_results/nsig_20/
CSR_Denoising/Results/Denoising_results/nsig_20/CSR_de_Lena512.tif
CSR_Denoising/Results/Denoising_results/nsig_20/CSR_de_Monarch_full.tif
CSR_Denoising/Results/Denoising_results/nsig_20/CSR_de_PSNR_SSIM.txt
CSR_Denoising/Results/Denoising_results/nsig_20/PCA_CSR_PSNR_SSIM.txt
CSR_Denoising/Results/tmp.tif
CSR_Denoising/Utilities/
CSR_Denoising/Utilities/Add_noise.m
CSR_Denoising/Utilities/CSR_Denoising.m
CSR_Denoising/Utilities/CSR_Thresholding.m
CSR_Denoising/Utilities/Clustering_PCA_New.m
CSR_Denoising/Utilities/Image_Denoising.m
CSR_Denoising/Utilities/Proc_cls_idx.m
CSR_Denoising/Utilities/Set_PCA_idx.m
CSR_Denoising/Utilities/Soft_PCA.m
CSR_Denoising/Utilities/cal_ssim.m
CSR_Denoising/Utilities/csnr.m
CSR_Denoising/Utilities/ext_im.m
CSR_Denoising/Utilities/find_blks.m
CSR_Denoising/Utilities/find_blks_fast.m
CSR_Denoising/Utilities/find_blks_fast2.m
CSR_Denoising/Utilities/getpca.m
CSR_Denoising/Utilities/soft.m
CSR_Denoising/Data/
CSR_Denoising/Data/images/
CSR_Denoising/Data/images/Lena512.tif
CSR_Denoising/Data/images/Monarch_full.tif
CSR_Denoising/Data/images/barbara.tif
CSR_Denoising/Data/images/boat.tif
CSR_Denoising/Data/images/cameraman.tif
CSR_Denoising/Data/images/couple.tif
CSR_Denoising/Data/images/fingerprint.tif
CSR_Denoising/Data/images/hill.tif
CSR_Denoising/Data/images/house.tif
CSR_Denoising/Data/images/man.tif
CSR_Denoising/Data/images/peppers256.tif
CSR_Denoising/Data/images/straw.tif
CSR_Denoising/Data/images/textures/
CSR_Denoising/Data/images/textures/hex.tif
CSR_Denoising/Denoising_Main.m
CSR_Denoising/Results/
CSR_Denoising/Results/Denoising_results/
CSR_Denoising/Results/Denoising_results/nsig_20/
CSR_Denoising/Results/Denoising_results/nsig_20/CSR_de_Lena512.tif
CSR_Denoising/Results/Denoising_results/nsig_20/CSR_de_Monarch_full.tif
CSR_Denoising/Results/Denoising_results/nsig_20/CSR_de_PSNR_SSIM.txt
CSR_Denoising/Results/Denoising_results/nsig_20/PCA_CSR_PSNR_SSIM.txt
CSR_Denoising/Results/tmp.tif
CSR_Denoising/Utilities/
CSR_Denoising/Utilities/Add_noise.m
CSR_Denoising/Utilities/CSR_Denoising.m
CSR_Denoising/Utilities/CSR_Thresholding.m
CSR_Denoising/Utilities/Clustering_PCA_New.m
CSR_Denoising/Utilities/Image_Denoising.m
CSR_Denoising/Utilities/Proc_cls_idx.m
CSR_Denoising/Utilities/Set_PCA_idx.m
CSR_Denoising/Utilities/Soft_PCA.m
CSR_Denoising/Utilities/cal_ssim.m
CSR_Denoising/Utilities/csnr.m
CSR_Denoising/Utilities/ext_im.m
CSR_Denoising/Utilities/find_blks.m
CSR_Denoising/Utilities/find_blks_fast.m
CSR_Denoising/Utilities/find_blks_fast2.m
CSR_Denoising/Utilities/getpca.m
CSR_Denoising/Utilities/soft.m
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