文件名称:k_svd
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 11.96mb
- 下载次数:
- 0次
- 提 供 者:
- 谢**
- 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--下载内容均来自于网络,请自行研究使用
k-svd算法m代码.用于形成冗余字典,对图像进行稀疏分解-m k-svd algorithm code used to create a redundant dictionaries, sparse decomposition of images
(系统自动生成,下载前可以参看下载内容)
下载文件列表
k_svd\11.gif
.....\barbara.png
.....\boat.png
.....\demo1.m
.....\demo2.m
.....\demo3.m
.....\denoiseImageDCT.m
.....\denoiseImageGlobal.m
.....\denoiseImageKSVD.asv
.....\denoiseImageKSVD.m
.....\displayDictionaryElementsAsImage.asv
.....\displayDictionaryElementsAsImage.m
.....\gererateSyntheticDictionaryAndData.m
.....\globalTrainedDictionary.mat
.....\house.png
.....\KSVD.asv
.....\KSVD.m
.....\...._Matlab_ToolBox\barbara.png
.....\...................\boat.png
.....\...................\demo1.m
.....\...................\demo2.m
.....\...................\demo3.m
.....\...................\denoiseImageDCT.m
.....\...................\denoiseImageGlobal.m
.....\...................\denoiseImageKSVD.m
.....\...................\displayDictionaryElementsAsImage.asv
.....\...................\displayDictionaryElementsAsImage.m
.....\...................\gererateSyntheticDictionaryAndData.m
.....\...................\globalTrainedDictionary.mat
.....\...................\house.png
.....\...................\KSVD.m
.....\...................\KSVD_NN.m
.....\...................\lena.png
.....\...................\MOD.m
.....\...................\my_im2col.m
.....\...................\NN_BP.m
.....\...................\OMP.m
.....\...................\OMPerr.m
.....\...................\peppers256.png
.....\...................\README.txt
.....\KSVD_NN.m
.....\lena.png
.....\MOD.m
.....\my_im2col.asv
.....\my_im2col.m
.....\NN_BP.m
.....\OMP.asv
.....\OMP.m
.....\OMPerr.m
.....\peppers256.png
.....\README.txt
.....\Untitled.asv
.....\Untitled.m
.....\KSVD_Matlab_ToolBox
k_svd
.....\barbara.png
.....\boat.png
.....\demo1.m
.....\demo2.m
.....\demo3.m
.....\denoiseImageDCT.m
.....\denoiseImageGlobal.m
.....\denoiseImageKSVD.asv
.....\denoiseImageKSVD.m
.....\displayDictionaryElementsAsImage.asv
.....\displayDictionaryElementsAsImage.m
.....\gererateSyntheticDictionaryAndData.m
.....\globalTrainedDictionary.mat
.....\house.png
.....\KSVD.asv
.....\KSVD.m
.....\...._Matlab_ToolBox\barbara.png
.....\...................\boat.png
.....\...................\demo1.m
.....\...................\demo2.m
.....\...................\demo3.m
.....\...................\denoiseImageDCT.m
.....\...................\denoiseImageGlobal.m
.....\...................\denoiseImageKSVD.m
.....\...................\displayDictionaryElementsAsImage.asv
.....\...................\displayDictionaryElementsAsImage.m
.....\...................\gererateSyntheticDictionaryAndData.m
.....\...................\globalTrainedDictionary.mat
.....\...................\house.png
.....\...................\KSVD.m
.....\...................\KSVD_NN.m
.....\...................\lena.png
.....\...................\MOD.m
.....\...................\my_im2col.m
.....\...................\NN_BP.m
.....\...................\OMP.m
.....\...................\OMPerr.m
.....\...................\peppers256.png
.....\...................\README.txt
.....\KSVD_NN.m
.....\lena.png
.....\MOD.m
.....\my_im2col.asv
.....\my_im2col.m
.....\NN_BP.m
.....\OMP.asv
.....\OMP.m
.....\OMPerr.m
.....\peppers256.png
.....\README.txt
.....\Untitled.asv
.....\Untitled.m
.....\KSVD_Matlab_ToolBox
k_svd