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KSVD_Matlab_ToolBox
- KSVD工具包,可以用于去噪\增强等多种领域,具体方法是先训练方向,然后沿方向进行-KSVD toolkit can be used to enhance various areas of de-noising, the specific method is the first training direction, and then along the direction
KSVD_Matlab_ToolBox
- 该代码用c++语言实现了KSVD算法,运行环境为vc6.0-The code using c++ language implementation of the KSVD algorithm, runtime environment for vc6.0
ksvdbox12
- 采用KSVD算法通过训练的方法来构造稀疏过完备字典，在使用时一定要确保已装有ompbox9。可用于语音，图像信号处理等的稀疏字典构造-KSVD algorithm using the method of training to construct the sparse over-complete dictionary, in use, make sure have been installed ompbox9. Can be used
KSVD_Matlab_ToolBox
- KSVD算法,应用于稀疏表示，发表于2006年的文章-KSVD_Algorithm
CVPR_2006_KSVD_Denoising
- KSVD算法PPT，很好很生动形象，易懂-KSVD
ksvdbox13
- KSVD的工具包，版本为13；用于求解图像集字典的字典，以及去噪等-KSVDBox v13 October 18, 2009 Make sure OMPBox v10 is installed prior to installing this package.
aboutKSVD
- 这是关于KSVD的两篇英文文章，我觉得对学习KSVD算法很有用-It s about ksvd the two articles in english, i think learning ksvd algorithm is very useful
KSVD
- K-SVD算法程序，利用聚类算法对字典进行训练-K-SVD algorithm program, the use of clustering algorithm is trained on a dictionary
KSVD
- 图像稀疏编码的一种方法，可用于基于稀疏表示的图像压缩、去噪等-Sparse image coding method can be used for sparse representation-based image compression, denoising, etc.
KSVD_Matlab_ToolBox
- KSVD原始算法：信号稀疏表示中的过完备字典的学习算法-KSVD original algorithm: Signal Sparse Representation of the learning algorithm over-complete dictionary
KSVD
- 实现文章“Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries”中的降噪算法-Realize the article " Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries" in the n
low-rank-ksvd
- 低秩的求解 denoise an image by sparsely representing each block with the already overcomplete trained Dictionary, and averaging the represented parts. Detailed descr iption can be found in "Image Denoising Via Sparse an
KSVD_Matlab_ToolBox
- 该工具箱为KSVD算法的实现，其用来自适应地对信号就行稀疏表示，达到良好的稀疏性-The toolbox is KSVD algorithm, it is used to adaptively sparse representation of the signal on the line to achieve a good sparse
KSVD-for-SAR_LOG
- 用基于稀疏表示和KSVD字典学习去噪方法在对数域对SAR图像抑斑，本方法相对于一些经典的SAR图像抑斑方法，抑斑效果大大提高。-Based on the sparse representation and KSVD dictionary learning denoising method in the logarithmic domain，we despeckle SAR image, compared with some of the
KSVD
- KSVD算法程序，完成KSVD重构字典的程序 -KSVD algorithm program to complete the dictionary KSVD reconstruction program
KSVD
- Kvsd算法，主要用于图像去噪，结合了图像的稀疏信息-ksvd denoising
KSVD-MOD
- KSVD和MOD字典学习稀疏表示程序代码-KSVD, and MOD dictionary learning sparse representation of program code
ksvd去噪
- KSVD去噪，效果很好，也可以用于图像增强，里面附有图片，有问题可以联系qq2027771338(KSVD denoising, the effect is very good, can also be used for image enhancement, which is accompanied by pictures)
KSVD
- 这是KSVD稀疏分解算法，，可以很好的用于图像的去噪(This is a KSVD sparse decomposition algorithm, which can be used for image denoising)
ksvd-omp
- 实现稀疏表示算法，以lena图像为例，主要用ksvd和omp算法(The sparse representation algorithm is implemented. The Lena image is taken as an example, mainly using the ksvd and OMP algorithms.)