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figure64
- 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。-sparse decomposition image reconstruction process, the image is divided into a number of small images, then each sub-block redevelopment edge after the merger into the whole image.
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 and Redundant representations
bcs-spl-1.3-1.tar
- 分块压缩感知中稀疏表示增加方向性提高重构质量-Block compression to increase directional to improve the reconstruction quality perception in sparse
BM3D
- BM3D去噪算法的实现和相关文档，很好的去噪算法-Image and video denoising by sparse 3D transform-domain collaborative filtering Block-matching and 3D filtering (BM3D) algorithm
Adaptive-Block
- 针对图像稀疏分解的计算时间复杂度非常高这个问题,提出了分块自适应图像稀疏分解算 法。该算法根据稀疏分解计算时间复杂度和待分解图像大小之间的关系,把待分解图像分成互不重 叠的小块,然后对每个小块图像进行稀疏分解。根据每一块的复杂程度,自适应地决定稀疏分解的 结束。-Sparse decomposition of image is very high computational complexity of this problem, a block adaptive image spar
SensingMatrixDesign
- 利用块稀疏的方法求解感知矩阵，在压缩感知、图像恢复方面都可以应用-Method for solving block sparse perception matrix in compressed sensing, image restoration can be applied
omp
- 用小波变换作为稀疏基，采取OMP算法将图像重建恢复，由于算法计算量大会导致成像时间过长，程序用改进的分块处理缩短了时间，-Wavelet transform as a sparse base, take OMP algorithms to restore the image reconstruction algorithm to calculate the General Assembly led to the long imaging time, the program using a mod
CS_Primary_tutorial
- CS压缩传感的初级教学代码，使用OMP重构，已注释，包括1维信号，2维图像的重构，分别使用dct和小波稀疏，列扫描和分块法进行omp重构-CS compressed sensing primary teaching code using OMP remodeling, already commented, including a 1-dimensional signals, 2-dimensional image reconstruction, respectively, using the D
DCT_Gaosi_fenkuai
- 对256*256大小的8bit灰度lena图像进行仿真 将图像分为16*16的分块进行计算 稀疏矩阵采用DCT矩阵，观测矩阵采用高斯随机矩阵，重构采用OMP算法- 256* 256 size lena image simulation 8bit grayscale image is divided into 16 * 16 calculate block sparse matrix using DCT matrix, observation matrix using Ga
cv_sparse_lines
- 基于OPENCV的人脸线状稀疏采样，可以自定义相邻线间距离，自定义圆弧形或者直线型遮挡，非常方便，简单实用-Based on sparse sampling line OPENCV face, and you can customize the distance between adjacent lines defined, custom arc-shaped or linear block, very convenient, simple and practical
block-sparse
- 压缩感知matlab代码及说明，适合初学者学习使用,关于分块稀疏-Compressed sensing matlab code and instructions for beginners to learn to use, on the block sparse
chengxu
- 是有关图像处理，基于稀疏表示图像融合，用分块过完备表示-s related to image processing, image fusion based on sparse representation, complete said with a block
PCRC
- 单样本人脸识别中，将训练样本分块，以增加训练样本的数量，构成字典基，用稀疏表示的方法求解人脸识别问题-Single sample of face recognition, the training sample block, in order to increase the number of training samples, a dictionary base, with sparse representation method to solve the problem of face re
train_coupled_dict
- 用于对所获取的图像块做联合字典的稀疏表示训练-For the acquired image block sparse representation of the dictionary to do joint training
Toolbox_PBDW
- 对磁共振图像的压缩感知重建算法，估计出每一图像块的几何方向，根据图像块几何方向的稀疏先验信息重建出磁共振图像 -The magnetic resonance image is reconstructed according to the sparse prior information of the image block geometric direction, and the geometric direction of each image block is estimated by
blok compressive sensing
- 分块压缩感知，采用SPL进行平滑，包括ct,dct,dwt,ddwt四种稀疏矩阵(Block compression perception, using SPL to smooth, including CT, DCT, DWT, DDWT four sparse matrices)