搜索资源列表
NESTA_v1.0
- 一个快速而精确的一阶稀疏图像复原算法。主要应用于图像去噪声。-A fast and accurate first-order sparse image restoration algorithm. Is mainly used in the image to the noise.
LSH
- 关于稀疏矩阵在图像处理中的应用的英文PPT,简单易懂。-On the sparse matrix applications in image processing in English PPT, easy to understand.
MatchingPursuits
- Matching Pursuit方法，经典的稀疏表示方法，可以用人脸识别和图像分类，图像去噪，现在非常流行。-Matching Pursuit method, sparse representation of the classic, you can use face recognition and image classification, image denoising, now very popular.
sppaper
- 有关稀疏表示的文章，主要是稀疏表示在一些图像方面的应用。-The sparse representation of the article, mainly sparse representation in a number of images in the application.
CVPR09-ScSPM
- 基于稀疏编码和线性塔式匹配的图像分类算法。-This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification".
Sparse_Vision
- 基于稀疏表示的计算机视觉和模式识别，主要介绍了利用稀疏表示的原理来处理计算视觉领域的去噪，识别，超分辨率重建等问题-Sparse Representation For Computer Vision and Pattern Recognition
MCA2aaBcr3.8
- 形态学成分分析二维图像(矩阵)使用高度复杂词典和稀疏矩阵促进处罚。-MCA of a 2D images using highly redundant dictionaries and sparstity promoting penalties.
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 proble
ompbox
- 稀疏表示正交匹配追踪算法matlab源代码-sparse representation
l1_ls_matlab
- 一种约束方式，用于降噪和压缩传感等，是稀疏图像的求解最优的方式-A constraint method for noise reduction and compressed sensing, are sparse best way to solve the image
mpimage
- mp算法实现的图像稀疏分解表示 ，已经调试通过，供参考学习-Image fusion based on wavelet transform has been debugged, for reference study
Professor-Lu-Wusheng-lecture
- 陆吾生教授是加拿大维多利亚大学电气与计算机工程系的教授。此课件为其在国内大学短期精品课程的课件。包含最优化问题求解，压缩感知方法及其在稀疏信号和图像处理中的应用（压缩、重构、降噪等）。-Professor Lu Wusheng University of Victoria, Canada Professor of Electrical and Computer Engineering. The courseware for the Un
Demo_CS_BP
- 压缩感知中基追踪重构方法，用于稀疏信号的重构，本程序用于图像重构-Based tracking in compressed sensing reconstruction methods for sparse signal reconstruction, the procedure used for image reconstruction
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
sparse
- 本压缩包包含了图像处理中稀疏表示的相关文献以及相关代码-This archive contains a sparse representation of image processing literature and related code
cpmpressive
- 一种图像处理超分辨率重构方法，主要是利用图像稀疏表示的方法进行图像重构-Super-resolution reconstruction of an image processing method, mainly using sparse representation of image reconstruction methods for image
OMP
- OMP算法：匹配追踪算法，输入字典和图像，获得图像在字典下的稀疏系数。有部分解释-OMP algorithm: matching pursuit algorithm, the input dictionary and images, access images in the dictionary under the sparse factor. Some explanation
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
compressed-sensing-procedure
- 基于压缩感知的图像处理，分别使用二维DCT、FFT和一维dwt变换对图像信号进行稀疏变换，然后使用正交匹配追踪算法进行重构，在进行相应的逆变换-This is a image processing procedure based on compressed sensing which respectively uses two-dimensional DCT, FFT and one-dimensional dwt transform