搜索资源列表
image_smoth
- 稀疏分解的匹配追踪程序，用新的较少的原子来重建信号或图像，使信号或图像的表示更加简洁。-MP tracking procedures, with new atomic less to rebuild signal or image the signal or image said more concise.
SparseLab21-Core.压缩感知理论稀疏分解工具箱
- 压缩感知理论稀疏分解工具箱 内附详细的工具箱使用说明及其大量的例程,Compressed sensing theory of sparse decomposition toolbox toolbox included detailed instructions and a large number of routines
sparserepresentationofsignals.
- 详细介绍了信号的稀疏分解和表示方法，可以用于图像特征提取等方面,Details of the sparse signal decomposition and that the method can be used for image feature extraction, etc.
SolveBP
- BP，基追踪，同MP一样，是实现信号稀疏分解的方法-BP, basis pursuit, as with the MP, is to achieve sparse signal decomposition method
ImageMP
- 图像投影在非对称原子上，进而进行稀疏分解，再重构。-Image Sparse Decomposition
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
mp_image_inpaiting
- 可实现对残缺图像的修复，应用了基于mp算法的图像稀疏分解思想。过程中考虑到了原子库原子的能量特性-Enables the restoration of fragmentary images, applications mp-based algorithm for image sparse decomposition ideas. The process of taking into account the characteristics of atomic energy of the atom
Image-Super-Resolution
- 稀疏分解图像重建程序，把图像分解成多个小块图像，然后再各个子块重建后边缘处理后合并成整个图像-Image Super-Resolution
Pursuit
- 基于MP的信号稀疏分解算法,它算法简单,比较容易实现.目前应用在很多领域中-MP-based signal sparse decomposition algorithm
WAVELAB850
- wavalab程序包，应用于稀疏分解等多方面，用处非常广非常有用-wavalab package
SR
- 基于MP的信号稀疏分解参考程序。源程序是《信号与图像的稀疏分解及初级应用》中的-MP sparse decomposition based on the signal reference program. Source is " Signal and image sparse decomposition and primary application" in the
SolveMP
- 匹配追踪MP算法，实现信号稀疏分解，运用的是投影思想-Matching up MP to achieve sparse signal decomposition
SolveOMP
- 正交匹配追踪，对MP的改进，实现信号的稀疏分解-Orthogonal matching pursuit, the improvement on the MP and the signal is sparse decomposition
SolveStOMP
- 同时正交分解，也是对MP的改进，实现信号的稀疏分解-At the same time orthogonal decomposition, also MP for improvement, and the signal is sparse decomposition
xsfj
- 利用正交匹配跟踪原子库对信号进行稀疏分解程序-Sparse decomposition process
sparseDecomposition
- 介绍稀疏分解，信号与图像的稀疏分解及初步应用，作者好像是西安交大的-sparse Decomposition of Signals and Images and Application
tree
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
稀疏分解图像去噪
- 基于稀疏字典和稀疏编码的图像去噪算法，基于低秩约束的高光谱条纹噪声去除，包含论文及代码(Based on sparse dictionary and sparse coding image denoising algorithm, based on low rank constraints of hyperspectral fringe noise removal, including papers and code)
稀疏分解
- 压缩感知 图形图像 图像处理 数据恢复 代码(Data recovery of compressed sensing image image processing)
MSBCS
- 在MTLAB环境运行main_msbcsspl.m。该程序的功能是实现图像的稀疏分解并重建图像，采用压缩感知理论，利用小波分析，在小波域分块观测，可以用很少的观测值就能重建原图像。程序包中已经整合了小波包和测试图像，没有多余文件，程序经过亲测并修改，能在MATLAB中直接运行得到很好的结果，速度非常快！(Run main_msbcsspl.m in the MTLAB environment. The function of the program is to decompose and rec