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DCT_Gaosi_fenkuai
- 对256*256大小的8bit灰度lena图像进行仿真 将图像分为16*16的分块进行计算 稀疏矩阵采用DCT矩阵，观测矩阵采用高斯随机矩阵，重构采用OMP算法- 256* 256 size lena image simulation 8bit grayscale image is divided into 16 * 16 calculate block sparse matrix using DCT matrix, observation matrix using Ga
Curvelet
- 曲波变换是图像处理领域中稀疏表示最常用的一种字典，其中MCA分解模型中经常用到。-Bo transform the field of image processing is the most common kind of sparse representation dictionary MCA decomposition model which is often used.
12148086KSVD_Matlab_ToolBox
- 稀疏矩阵字典的优化KSVD，本人已进行测试，效果甚佳,可以用在图像，数据的压缩和分类-Sparse dictionary optimization KSVD, I have been tested, very good results
- 对场景分类和语义特征稀疏化的高层图像表示-Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
N-sparse
- 创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。-Cr
Image-Super
- 通过稀疏表示图像超分辨率(TIP2010)-Image Super-Resolution via Sparse Representation(TIP2010)
Image-and-Redundant
- 通过稀疏和冗余图像去噪在学习词典下的表示-Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
lena
- 此程序，是应用在压缩感知方面的稀疏表示，图像重构。程序中利用现在流行的CS理论，在采样率为0.9时，成功的实现了图像重构-This procedure is used in the compressed sensing aspects of sparse representation, image reconstruction. Program using the now popular CS theory, the sampling rate is 0.9, the successful re
KSVD
- 压缩传感中稀疏字典KSVD算法，能实现信号的稀疏表示，和图像重构-important to image
Sparse-Mixing-Estimators
- 图像超分辨率重建算法，通过稀疏混合估计来实现，效果不错。-Image super-resolution reconstruction algorithm, by mixing estimates sparse achieved good results.
perspective
- 此代码主要介绍了图像的稀疏映射，通过一副图像的四个点来确定映射函数，从而达到图像的映射，代码完整的解释了映射的详细算法-This code describes the mapping of the sparse image through an image four points to determine the mapping function, so as to achieve the image mapping, code complete a detailed explanation o
User_Guide_v1.0b
- TVAL3算法的使用手册。TVAL3是一种利用梯度模稀疏性的压缩感知重构算法，恢复平滑图像效果不错。-User_Guide for TVAL3. TVAL3 is s compressed sensing reconstruction algorithm using gradient model sparsity. It can restore smooth image with good result.
LSSVMlabv1_8_R2009b_R2011a
- 快速稀疏svm算法实现图像分类，有需要者可以共同讨论-Fast sparse svm algorithm for image classification, there are those who need to discuss
svcsvm
- 快速稀疏svm算法实现图像分类，有需要者可以共同讨论-Fast sparse svm algorithm for image classification, there are those who need to discuss
ND-Flevoland_label
- 快速稀疏svm算法实现图像分类，有需要者可以共同讨论-Fast sparse svm algorithm for image classification, there are those who need to discuss
OLS_sparsereprention
- 基于稀疏表示的正交最小二乘法，使用的语言是matlab，应用比较广阔，设计信号处理中的信号回归，图像处理的压缩等。-Sparse representation based on orthogonal least squares method, the language used is matlab, relatively broad application, design signal processing signal return, image processing, compression
BregmanCookbook_v32
- TV—L1-deconvolution 图像处理中的稀疏优化问题-TV-L1-deconvolution image processing sparse optimization problems
Deformable-segmentation
- 基于稀疏表示和字典的分割,稀疏表示和字典分割来分割医学图像-Deformable segmentation via sparse representation and dictionary learning
Wavelet_OMP
- 小波稀疏分解和重构算法，适合通信信号和图像重构-Sparse wavelet decomposition and reconstruction algorithm for communications signal and image reconstruction
compresseive-sensing-dct_cs
- 压缩感知中常用的DCT基，用来对图像进行稀疏化处理的，可供初学者学习参考-DCT compressed sensing commonly used base for sparse image processing, for beginners to learn reference