搜索资源列表
20120903
- 基于类别相关近邻子空间的最大似然稀疏表示鲁棒图像识别算法-Category neighboring subspace-based maximum likelihood sparse representation robust image recognition algorithm
CSR_IR
- 这是基于稀疏表示的图像重建，用来做图像去模糊或超分辨，绝对可以用-Sparse Representation for Image Restoration
Single_Image_SR
- 用于基于稀疏表示的图像超分辨研究很好的一个工具箱-Based on image sparse representation used for image super resolution research is a good tool kit
Wavelet_OMP
- 本程序实现图像LENA的压缩传感,包括图像的稀疏表示，图像重构等等子函数，运行效果良好-The program image LENA compressive sensing, including the sparsity of the image, image reconstruction, and so subfunction running well
WT-OMPmatrix
- 对图像进行压缩感知，通过构造小波正交变换矩阵进行稀疏表示，用OMP重构-CS of image based on WT
shearlet_toolbox(1)
- 这个程序包是矩阵的稀疏表示，适合用于图像处理，简单易懂-This package is a sparse matrix suitable for image processing, simple and easy to understand
ScSR
- Jianchao Yang 的基于稀疏表示的单幅图像重建的原始代码，先将高低训练图像分块，再将块训练成高低字典，将测试图像映射到低字典上，得到系数，再乘以高子典就得到最后的图像。对学习超分辨率同学的参考作用很大。-This is the original matlab code for super resolution by Jianchao Yang 。The method is sparse represent based on the overcomplete dictionary。
MP
- 稀疏表示的MP程序，已调试，可以直接使用哈！主要用于图像压缩，图像去噪等方面。-code for mp
APBT
- 代码使用全相位双正交变换（APBT）稀疏表示图像，主函数为test.-The code uses the all phase biorthogonal transform (APBT) sparse representation of the image, the main function for the test.
Image-Super-Resolution-Via-SR
- YANG JC 2010年基于稀疏表示的图像超分辨PPT，全英文-Yang JC 2010 super-resolution image based on sparse representation PPT, English
05466111
- 杨建超 基于稀疏表示的图像超分辨 2010年文章-YANG JC Image Super-Resolution Via Sparse Representation
Sparsity-Collaborative-Track
- 基于稀疏表示的目标跟踪,对于稀疏表示应用于图像处理的同志可是一个借鉴。-Robust Object Tracking via Sparsity-based Collaborative Model
SolvePFP
- 图像等运用稀疏表示的方法进行计算识别和分类-Images using sparse representation method to calculate identification and classification
SparseRepresentationaItsApplication
- 稀疏表达及其应用的简单介绍，其中涵盖了稀疏表示、特征提取、压缩感知、图像增强、盲源分离、模式分类、目标跟踪和图像超分辨等。PPT和PDF是对应的，并添加了可视化的结果。-Sparse Representation and Its Application: Compressive Sensing, Visual Feature, Image Enhancement, Blind Source Separation, Pattern Classification, Object Tracking a
sr
- 基于稀疏表示来实现图像的目标识别的几种算法-Image based on sparse representation to achieve the objectives identified several algorithms
DCT
- DCT在图像重构，压缩感知以及稀疏表示中的应用-DCT in image reconstruction, compressed sensing and sparse representation of the application
Curvelet
- 曲波变换是图像处理领域中稀疏表示最常用的一种字典，其中MCA分解模型中经常用到。-Bo transform the field of image processing is the most common kind of sparse representation dictionary MCA decomposition model which is often used.
Image-Super
- 通过稀疏表示图像超分辨率(TIP2010)-Image Super-Resolution via Sparse Representation(TIP2010)
lena
- 此程序，是应用在压缩感知方面的稀疏表示，图像重构。程序中利用现在流行的CS理论，在采样率为0.9时，成功的实现了图像重构-This procedure is used in the compressed sensing aspects of sparse representation, image reconstruction. Program using the now popular CS theory, the sampling rate is 0.9, the successful re
KSVD
- 压缩传感中稀疏字典KSVD算法，能实现信号的稀疏表示，和图像重构-important to image