搜索资源列表
字典码
- 这是我最近写的字典码的编码和解码算法,可以使用的-This is what I recently wrote a dictionary code encoding and decoding algorithm can be used
DictionaryModuleandUserDefinedCodes
- 包含了一个Matalab的源代码，实现了一个新的编码方法可提高信息隐藏容量，可参考文献Dictionary Module and User Defined Codes for increasing Steganographic Embedding Capacity-the source code for the paper: Dictionary Module and User Defined Codes for increasing Steganographic Embedding Capac
chapter6_Julia
- 内含Mandelbrot集的局部放大源代码，Julia集的局部放大源代码，Newton迭代法的局部放大源代码和作为Julia集字典的Mandelbrot集源代码-The enlarged partial source code containing the Mandelbrot set, Julia sets partial enlarged source code of Newton iterative method enlarged partial source code and as Ju
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。
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
CSR_Denoising
- Weisheng Dong and Xin Li. "Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering"基于聚类的图像稀疏去噪这篇论文的去噪代码。-Weisheng Dong and Xin Li. " Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering" C
字典码
- 这是我最近写的字典码的编码和解码算法,可以使用的-This is what I recently wrote a dictionary code encoding and decoding algorithm can be used
dksvd
- DK-SVD，CVPR文章 Discriminative K-SVD dictionary learning for face recognition 源码，效果好于原始SRC-DK-SVD，the source code of CVPR paper Discriminative K-SVD dictionary learning for face recognition, its has a better performance than the classical SRC classifie
KSVD
- 稀疏表示中字典学习算法KSVD的实现，可以得到冗余字典，代码内部有详细注释-The realization of the sparse representation of a dictionary learning algorithm KSVD, can get a redundant dictionary, internal has a detailed code comments
bow-sift
- 实现图片的sift特征的提取，并能够进行聚类，生成词典。并且附带详细的注释及说明。我们现在的图片有关sift的，都是使用此代码。绝对可用。对初学者和开发者都有很大的帮助。-Achieve the picture sift feature extraction and clustering can generate dictionary. And with detailed notes and instructions. We are now about sift pictures, are us
Sparse-Representation-
- 文献“Sparse Representation based Fisher Discrimination Dictionary”及其对应的matlab代码，稀疏学习是目前非常流行的方法，希望对大家有所帮助-a paper named Sparse Representation based Fisher Discrimination Dictionary and its matlab code
fast_sc_Honglak-Lee(NIPS2007)
- 快速稀疏编码算法和字典学习算法，论文作者源代码-Fast sparse coding algorithm and dictionary learning algorithm, the authors source code
zidianbijiao
- 利用稀疏表示进行图像去噪时，需要生成两种学习字典，该源码比较了生成的两种字典的优劣-Denoising sparse representation, it is necessary to generate two learning dictionary, which compares the generated source code of the merits of two dictionary
BPFA_Denoise_04152010
- 非参贝叶斯字典学习用于图像去噪的matlab代码-BPFA denoising matlab code for the paper nonparametric bayesian dictionary learning for analysis of noisy and incomplete images download http://www.ee.duke/~mzl/Results/BPFAImage/.
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
K-SVD-dictionary-training-algorithms
- 在网站上下载的代码，一个外国的学者写的，很有帮助-On the website to download code, written by a foreign scholar, very helpful
Super-resolution
- 实现联合字典训练的超分辨率重建算法，通过分别训练高分辨率字典和低分辨率字典-1. The demo code is for upscaling factor of 2. For larger magnification factors, run the function ScSR.m multiple times. Note the code is a little different what presented in the TIP10 paper. Please find the p
稀疏分解图像去噪
- 基于稀疏字典和稀疏编码的图像去噪算法，基于低秩约束的高光谱条纹噪声去除，包含论文及代码(Based on sparse dictionary and sparse coding image denoising algorithm, based on low rank constraints of hyperspectral fringe noise removal, including papers and code)
Demo
- 包含完整的例程，包括OMP算法，字典显示代码等(Contains complete routines, including the OMP algorithm, dictionary display code, and so on)
Facial Expression Recognition
- 源码简介：ksvd字典学习进行表情识别 对比ksvd字典学习 与最近邻算法对比输出失败率用ksvd字典学习进行表情识.(Source code introduction: ksvd dictionary learning for expression recognition contrast ksvd dictionary learning and nearest neighbor algorithm comparison output failure rate using ksvd dict