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sparserepresentationofsignals.
- 详细介绍了信号的稀疏分解和表示方法，可以用于图像特征提取等方面,Details of the sparse signal decomposition and that the method can be used for image feature extraction, etc.
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
ImageMP
- 图像投影在非对称原子上，进而进行稀疏分解，再重构。-Image Sparse Decomposition
Matlab-Code-for-Image-Representation
- 附件程序为图像稀疏表示的源代码，程序用matlab编写，能正常运行。-Sparse representation of the image attachment program source code, programs written with matlab able to function properly.
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.
Image-deconvolution-prior
- 本源码是利用Sparse Prior复原图像的方法,其中包括频域和空域的复原比较,源码中有相应的文章Deconvolution using natural image priors-Deconvolution using natural image priors
img_mo
- Image Denoising using sparse transformation.
Sparse Lab 200-Core
- 基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。-In this paper, we propose a novel method for solv- ing single-image super-resoluti
MPimage
- 使用MP将图像稀疏分解并且精确重构，其中使用2D的GA原子-MP will use the image sparse decomposition and perfect reconstruction, in which the GA using 2D atomic
111
- Image Super Resolution via Sparse Representation. -Image Super Resolution via Sparse Representation.Image Super via Sparse Representation.
Improved-non-negative-sparse-coding-algorithm
- 改进的非负稀疏编码图像基学习算法Improved non-negative sparse coding algorithm for image-based Learning-Improved non-negative sparse coding algorithm for image-based Learning
Matlab-for-Image-Representation
- 图像稀疏表示的MATLAB编程代码，有图-MATLAB sparse representation of the image programming code, a map
Sparse-and-Redundant-Representations
- Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing，稀疏表示的最新巨作-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing, sparse representation of the latest blockbuster
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
Centralized-Sparse-Representation
- Sparse Representation or Collaborative Representation Which Helps Face Recognition
Image-Sparse-Representation-Model
- 完备图像稀疏表示是一种最新的图像表示模型，采用过完备字典中原子的线性组合形式实现图像的稀疏表示．传统 的过完备图像稀疏表示模型采用重建误差的平方和作为保真项．该保真项没有充分考虑到人眼对图像的感知特性，无法度量图 像中边缘、轮廓、纹理等局部几何结构的变化．本文基于过完备稀疏表示理论思想，建立了新的稀疏性正则化的图像稀疏表示模 型．模型中的正则项约束图像表示系数的稀疏性，保真项采用更符合视觉感知的结构相似性度量．基于正交匹配追踪算法，提出 了基于结构相似度的正交匹配追踪算法．实验结
A-sparse-representation-
- 图像的稀疏表示，通过该算法可以读图像进行稀疏表示，并且查询字典可还原图像.-Image sparse representation, can be achieved by the algorithm of image sparse representation, and combine the dictionary query, can restore the image.
Sparse Concept Coding for Visual Analysis
- Sparse Concept Coding for Visual Analysis
Image
- Image super-resolution via sparse representation
sparse-cvpr13
- 使用迁移学习和稀疏编码来实现不同领域之间的适配，是一种基于特征表示的迁移学习(This method is designed for image clustering and classification and called sparse subspace clustering.)