搜索资源列表
PCA
- 采用两种方法计算PCA的程序：SVD和计算Covariance。程序包括VC++代码和Matlab代码。
k_svd
- 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
dwt_svd_GUI
- matlab GUI数字水印代码。小波变换中的dwt与svd算法的结合，加密用的是混沌加密。是毕业设计的代码。下载后注意图片的路径。-digital watermarking matlab GUI code. Wavelet transform dwt in combination with the svd algorithm, encryption is used for chaotic encryption. Is a graduate of the code design. Attenti
359801828_imcompr
- SVD程序，用于图像的奇异值分解，SVD程序，用于图像的奇异值分解-SVD procedure for singular value decomposition of the image, SVD procedure for singular value decomposition image
SVDBasedImageQualityMeasure
- 基于SVD的灰度图质量测定matlab代码-An SVD-Based Gray-Scale Image Quality Measure for Local and Global Assessment
ImprovedDL
- 这是一篇SCI文章《改善字典学习：多字典更新和系数重用》里的Matlab代码，包含了OMP、Batch-OMP、CoROMP等匹配跟踪算法代码以及改进的K-SVD字典学习算法代码，是图像稀疏表示研究方向重要的源代码，有助于大家学习和改进。-This file folder reproduces the Figures for paper:"Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reus
matlab-SVD
- 利用张量（三维矩阵）奇异值分解即SVD分解进行图像去噪，本代码运用MATLAB。-Using tensor (three-dimensional matrix) that SVD decomposition singular value decomposition for image de-noising, the code using MATLAB.
KSVD-ToolBox
- KSVD稀疏表示matlab代码，有3个demo示例程序，可实现一维二维信号的稀疏表示。-K SVD sparse representation matlab code, there are three demo sample program can achieve one-dimensional two-dimensional signal sparse representation.
pcadenoise
- 矩阵 pca或者低秩方法去噪，利用svd分解，实现对图像矩阵的去噪，该方法支持对rgb图像的去噪。使用代码请 文章中表明出处，感谢。 感谢重庆市研究生科研创新项目支持，项目号CYS16183(image denoise by low-rand regularizer or pca method. the low rank is evaluted by svd, and this method is also support for rgb image.)
K-SVD_SOMP-master
- 基于K-SVD方法的图像去噪算法，代码是MATLAB版的(Image denoising algorithm based on K-SVD method, the code is MATLAB version of)