搜索资源列表
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
KSVD
- 实现文章“Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries”中的降噪算法-Realize the article " Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries" in the noise reduction algorithm
KSVD
- KSVD算法程序，完成KSVD重构字典的程序 -KSVD algorithm program to complete the dictionary KSVD reconstruction program
ksvdbox13
- KSVD算法的工具包，安装在matlab的相关路径下，可以直接调用。-KSVD algorithm Kit installed in the path of matlab can be called directly.
Elad-ksvd-matlab-toolbox
- 稀疏表示，字典学习，KSVD算法，matlab版-Sparse representation dictionary learning, KSVD algorithm, matlab
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
KKSVD
- Kernel KSVD/ OMP/MP/KMOP算法-Kernel KSVD/KSVD/OMP/MP/KMOP algorithm
8-(1)
- 图像修复是对图像中破损区域进行信息填充，以减少图像破损所带来的信息损失的过程。 传统的图像修复方法需要依赖图像的具体结构来制定相应的修复方法，压缩感知理论的提出，使得可以利 用信号的稀疏性来对图像进行修复。基于K 奇异值分解（KSVD）与形态学成分分析（MCA，Morphological Component Analysis）的图像修复方法首先采用形态学成分分析方法对破损图像进行特征分析，将其分解 为结构部分和纹理部分；然后基于学习型字典KSVD分别对这两部分进行过完备字典训练；
KSVD
- 利用ksvd算法对矩阵进行奇异值分解实现压缩感知中的字典训练，-Use ksvd algorithm matrix singular value decomposition to achieve compression dictionary perception training,
KSVD-for-image-denoise
- KSVD用于稀疏字典的训练，稀疏表示用于图像去噪-An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
denoise_source
- 精心收集的几个去噪算法，包括基于视觉的非线性去噪、BLS_GSM算法、NL-Bayes图像去噪、KSVD去噪等，内容为核心代码，需要配置完善。 -Denoising algorithm of several carefully collected, including visual based nonlinear denoising, BLS_GSM algorithm, NL-Bayes image denoising, KSVD denoising, the content as the
KSVD-for-denoising
- 主要是基于KSVD的稀疏编码去噪的算法，属于matlab版的，里面有我个人的所有注释！-Mainly based on the sparse coding KSVD denoising algorithm, belong to matlab version, there are my personal all comments!
K-SVD-algorithm
- KSVD算法，对于字典训练很实用，并且，对于基于稀疏表示方法，可以提高精度-KSVD algorithm for dictionary training is very practical，And, based on sparse representation method, can improve the precision
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算法
- 是图像复原算法KSVD，用于图像的特征提取，效果比其他方法好。(Is the image restoration algorithm KSVD, for image feature extraction, the effect is better than other methods)
KSVD_Matlab_ToolBox
- 使用ksvd的工具，能深入理解ksvd算法在图像去噪方面的应用。(Using ksvd tools, we can deeply understand the application of ksvd algorithm in image denoising.)
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.)
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
K-SVD
- KSVD的稀疏编码去噪的matlab版本算法(Sparse encoding KSVD denoising algorithm)
Color-Image-Inpainting-master
- 基于正交匹配追踪和KSVD算法的图像修复。(Image inpainting based on OMP and KSVD algorithm)