搜索资源列表
denoiseImageKSVD
- 图像处理中稀疏表示中的ＫＳＶＤ算法，用于求解稀疏系数-Image processing sparse representation K SVD algorithm for solving sparse coefficient
OMPerr
- 图像处理中稀疏表示中用于实时更新字典、稀疏系数-Image processing sparse representation for real-time update the dictionary, sparse coefficient
SP-TrainDictionary-ksvd--demo
- 图像处理，稀疏表示，字典去噪，ksvd，人脸识别-Image processing, sparse representation, dictionary denoising, KSVD, face recognition
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
Local_MCA_KSVD
- 运用MCA算法，进行图像的分离，通过稀疏表示的K-SVD算法，将图像分为卡通和纹理部分-The MCA algorithm is used to separate the images. The sparse representation of the K-SVD algorithm is used to separate the images into cartoons and textures
VbGm
- 实现论文 基于稀疏表示的图像超分辨率《Image Super-Resolution Via Sparse Representation》中的Figure2，通过对100000个高分辨率和低分辨率图像块训练得到的高分辨率图像块字典，字典原子总数为512，图像块尺寸大小为9X9.-The Figure2 in 《Image Super-Resolution Via Sparse Representation》
sparsebased
- 一种基于稀疏表示的图像融合方法，基于论文Joint patch clustering-based dictionary learning for multimodal image fusion 进行编写 结果相似-A sparse based image fusion method. It is based on paper Joint patch clustering-based dictionary learning for multimodal image fusion T
MOD
- MOD算法是经典的字典学习算法，他能适应各种信号如图像、声音、机床振动等的稀疏表示-MOD algorithm is the classic dictionary learning algorithm, he can adapt to a variety of signals, such as sparse image, sound, vibration or the like, said machine tool
EA-SRC
- 利用超限学习机（ELM）和稀疏表示(SRC)进行图像分类。Matlab完整源码。-Extreme learning machine and adaptive sparse representation for image classification
Sparse_codingsampleIMAGES.m
- 基于稀疏表示的图形图像处理Sparse_codingsampleIMAGES-Sparse_coding sample IMAGES
CSR_Denoising
- 该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）-It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the
Sparse-Representation-
- 稀疏表示的毕业参考论文，在图像去噪、图像修复、人脸识别及压缩感知等图像处理领域中的应用进行了总结.-Sparse representation of graduation reference papers, summarized in the image denoising, image restoration, face recognition and compressed sensing and other image processing applications
SVT
- SVT 低秩矩阵恢复，可用于稀疏表示、图像恢复(SVT for low rank matrix completion)
ksvdsbox11-min
- KSVD 算法 K-SVD通过构建字典来对数据进行稀疏表示，经常用于图像压缩、编码、分类等应用(KSVD algorithm K-SVD sparse data is represented by building dictionaries, often used for image compression, coding, classification, and other applications)
image denoising
- 图像去噪修复的典型算法代码包，包含基于稀疏表示的KSVD图像去噪，BM3D彩色图像去噪代码，TV图像修复代码，MCA图像修复代码。(Typical image denoising algorithm code package, including sparse representation based on KSVD image denoising, BM3D color image denoising code, TV image restoration code, MCA image res
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)
107215802AnalysisKSVD
- 实现图像的稀疏编码，采用k-svd进行字典学习，omp算法进行稀疏表示系数的计算，内附有去噪例子(To achieve the image sparse coding, using K-SVD dictionary learning, OMP algorithm for sparse representation of the calculation of factors, with examples of 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.)
54438724
- 三元组表示的稀疏矩阵 进行加法乘法运算并输出结果()
Fisher字典学习
- 基于稀疏表示的高光谱图像分类的Fisher字典学习方法matlab代码(Hypersynthetic image classification based on sparse representation in Fisher dictionary learning matlab code.)