文件名称:CSR_Denoising
-
所属分类：
- 标签属性：
- 上传时间：2017-05-02
-
文件大小：1.77mb
-
已下载：1次
-
提 供 者：
-
相关连接：无下载说明：别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容来自于网络，使用问题请自行百度
该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）-It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D
(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
.............\Data
.............\....\images
.............\....\......\barbara.tif
.............\....\......\boat.tif
.............\....\......\cameraman.tif
.............\....\......\couple.tif
.............\....\......\fingerprint.tif
.............\....\......\hill.tif
.............\....\......\house.tif
.............\....\......\Lena512.tif
.............\....\......\man.tif
.............\....\......\Monarch_full.tif
.............\....\......\peppers256.tif
.............\....\......\straw.tif
.............\....\......\textures
.............\....\......\........\hex.tif
.............\Denoising_Main.m
.............\Results
.............\.......\Denoising_results
.............\.......\.................\nsig_20
.............\.......\.................\.......\CSR_de_PSNR_SSIM.txt
.............\.......\.................\.......\PCA_CSR_PSNR_SSIM.txt
.............\Utilities
.............\.........\Add_noise.m
.............\.........\cal_ssim.m
.............\.........\Clustering_PCA_New.m
.............\.........\csnr.m
.............\.........\CSR_Denoising.m
.............\.........\CSR_Thresholding.m
.............\.........\ext_im.m
.............\.........\find_blks.m
.............\.........\find_blks_fast.m
.............\.........\find_blks_fast2.m
.............\.........\getpca.m
.............\.........\Image_Denoising.m
.............\.........\Proc_cls_idx.m
.............\.........\Set_PCA_idx.m
.............\.........\soft.m
.............\.........\Soft_PCA.m
1999-2046 搜珍网 All Rights Reserved.
本站作为网络服务提供者，仅为网络服务对象提供信息存储空间，仅对用户上载内容的表现方式做保护处理，对上载内容本身不做任何修改或编辑。