搜索资源列表
DictionaryLearning
- 字典学习训练，利用学习训练字典达到较好的稀疏分解效果
focuss-cndl.zip
- focuss算法 关于图像稀疏性分解中字典学习的经典算法 和大家一同分享 ,focuss algorithm on the sparse image decomposition in the dictionary of the classical learning algorithm and we share
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
L1
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
overcomplete
- 收集的几篇关于稀疏性号冗余字典建立的中文文献，对初学者很有参考价值。-Collection of several dictionaries on the sparsity of the establishment of redundant number of Chinese literature, a good reference for beginners.
@partialDCT
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
fusedLasso
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
invCov
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
L1Lq
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
overlapping
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
tree
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
trace
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
pathWise
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
KSVD-for-SAR_LOG
- 用基于稀疏表示和KSVD字典学习去噪方法在对数域对SAR图像抑斑，本方法相对于一些经典的SAR图像抑斑方法，抑斑效果大大提高。-Based on the sparse representation and KSVD dictionary learning denoising method in the logarithmic domain，we despeckle SAR image, compared with some of the classic SAR image speckle sup
ksvdsbox11-min
- KSVD字典训练程序，用于生成适应于图像内容的稀疏字典。稀疏描述必读程序。-KSVD dictionary training program used to generate a sparse dictionary adapted to image content. Sparse descr iption of the Privacy Policy program.
smallbox_2.0
- SMALLbox，这个工具箱不仅用来比较各种稀疏表示的解法，而且把字典学习算法也融合了进去-SMALLbox, the toolbox not only be used to compare various sparse representation of the solution, and the dictionary learning algorithm also combines into
自己编写的稀疏去噪代码
- 先使用K-means聚类算法将图像分为几个类，然后针对每一类分别Ksvd字典训练和稀疏表示，进行去噪
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)
K-SVD_and_W_KSVD_Sparse_Representation
- 通过字典学习更新的方法，对图像信号进行稀疏化分解(Through the method of learning and updating the dictionary, the image signals are sparse decomposed)
稀疏融合
- 利用DCT字典对图形进行稀疏表示，实现两幅图像的融合(Using the DCT dictionary to sparse representation of the graphics to achieve the fusion of two images)