搜索资源列表
sy
- 压缩感知的经典代码,包括观测,稀疏表示,重建,其中观测用的高斯观测矩阵,稀疏用的DCT,重建用的OMP算法-Compressed sensing of the classic code, including observations, sparse representation, reconstruction, observed with a Gaussian observation matrix, sparse use of the DCT, re-use of the OMP algorit
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
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
Wavelet-OMP
- 基于小波变换和OMP算法的稀疏表示,不仅包括适用于黑白图片的程序,也包括适用于彩色图片的程序。-the sparse representation basing on wavelet and omp,not only for the gray image,but also color image
Improved-OMP-
- 改进OMP算法在人脸识别中的应用。析稀疏表示的人脸识别方法的基本原理,针对采用基于正交匹配追踪(OMP)的稀疏表示算法时,所获得稀疏系数存在负值的问 题,提出一种改进的正交匹配追踪算法。通过对稀疏系数的大小进行直接约束。减少负值稀疏系数的产生及算法迭代次数。并提高人脸识 别速度-Improved OMP Algorithm in Face Recognition
BP-MP-OMP
- 压缩感知的BP MP OMP重构算法比较,包括运行时间、误差、PSNR的比较,稀疏表示为小波变换-compressed sensing reconstruction algorithm comparing BP MP OMP, including comparative run-time error, PSNR ,sparse representation is the wavelet transform
S_R
- 图像的稀疏表示及字典训练代码OMP和KSVD-Sparse representation of images and dictionary training code OMP and KSVD
Sparse-representation
- 稀疏表示常用算法工具箱 包括OMP KSVD -Sparse representation of common algorithms, including KSVD OMP
KSVD_Matlab_ToolBox
- 基于KSVD算法的图像去噪算法,稀疏表示,字典学习,OMP算法,基于DCT字典的图像去噪,demo可以直接运行。-Image denoising by KSVD algorithm,spare representation,dictionary learning,OMP algorithm,DCT dictionary
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.)