搜索资源列表
Compressive_Sensing
- 压缩感知图像融合算法，效果很好滴，可以借鉴学习哦-Compressed sensing image fusion algorithm, the effect is very good drops, you can learn from, oh
fusion
- 用于实现基于压缩感知在傅里叶系数域上的图像融合-For image fusion based on compressed sensing in the domain of Fourier coefficients
CSRec_SP
- 利用MATLAB编写的压缩感知重构算法，实现图像压缩后的重构-Using MATLAB compressed sensing reconstruction algorithm, image compression refactoring
MEland_SparseRepresentation
- 压缩感知稀疏表示领域大牛M.Eland写的书，非常值得一看，主要是字典构造和稀疏表示方面的问题。-A great book form M.Eland ，one of the leaders in Compressed sensing and sparse representation field.It is worth to read.
omp
- 图像处理中压缩感知理论，对一维信号运用omp重构-Compressed sensing image processing theory, the use of one-dimensional signal omp reconstructed
OMP-_COSAMP
- 压缩感知 处理程序 OMP 和COSAMP程序 需要的拿去 压缩感知 处理程序 OMP 和COSAMP程序 需要的拿去-CS is a image control CS is a image control CS is a image control
CSomp
- 图像压缩感知 正交匹配追踪 小波变换-The image compression perception orthogonal matches track wavelet transform
compared
- 压缩感知 几种方法的比较 匹配追踪 助教匹配追踪-Compressed sensing are several ways to compare matching pursuit assistant match tracking
CS
- 图像处理 压缩感知 重构算法 匹配追踪改进-Image processing compression-aware reconstruction algorithm matching pursuit to improve
Compressive-Sensing--The-Big-Picture
- 很好的图形图像处理网址，压缩感知方向的童鞋很受益-Compressive Sensing
software
- 用于压缩感知图像处理的matlab代码 包括CoSaMP，GBP，IHT，OMP，BP，SP等算法的代码-matlab codes for image processing applied for compressed sensing，codes including CoSaMP，GBP，OMP，BP，IHT，SP
CS_IHT
- 用于压缩感知的阈值迭代算法的matlab 代码-compressed sensing matlab code for IHT
Cusp_OMP
- 针对cusp信号的正交匹配算法（OMP）的压缩感知重构matlab代码-compressed sensing matlab code for cusp signal using OMP
MRI
- 压缩感知应用于MRI图像处理，几个matlab代码-several matlab codes for compressed sensing MRI image processing
Wavelet_IRLS
- 压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为ILRS算法，对256*256的lena图处理，比较原图和IRLS算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间-Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix
Wavelet_OMP
- 压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为OMP算法，对256*256的lena图处理，比较原图和OMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 -Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix
Wavelet_SP
- 压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SP算法，对256*256的lena图处理，比较原图和SP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间-Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and
OMP
- 近几年压缩感知兴起，其中很重要的图像重建一直是近几年研究的重点，这个比较基础的OMP算法是很基础的一个。-Compression perceived rise in recent years, which is very important image reconstruction has been in recent years, the focus of the study, the basis of comparison of the OMP algorithm is based.
Wavelet_ROMP
- 压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为ROMP算法，对256*256的lena图处理，比较原图和ROMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 -Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matr
CT_CPP_sq_v1
- 基于OpenCV的CompressiveTracking（压缩感知目标跟踪算法） C++ 代码，利用Harr特征，在特定场景下有较好的跟踪效果。-To Harr characteristics based the OpenCV s CompressiveTracking (compressed sensing, target tracking algorithm) C++ code