contoulet-fusion

压缩感知基追踪算法，实现二维图像的小波变换以及图像重构(Compressed sensing based tracking algorithm, wavelet transform two-dimensional image, and image reconstruction)

带通配符的字符串匹配,多重匹配,支持通配符“*”，“？”(String matching with wildcards, multiple matches, supports wildcards " *" , " ?" )

此程序为matlab的噪声添加程序，可添加周期函数的噪声(matlab for noise adding)

说明：  sift算法实现的图像匹配程序，使用matlab编写的，多用于图像拼接，融合等领域。(The image matching program implemented by SIFT algorithm is written by MATLAB, and it is mostly used in image splicing, fusion and other fields.)

基于SUFT的特征提取与匹配，内涵详细的文档说明，很好的实现了特征提取与匹配，该方法较基本的SIFT有很大的提高(Extraction and matching of features based on SUFT, detailed content of the documentation, very good realization of the feature extraction and matching, SIFT the method is basic is greatly improved)

并行磁共振成算法GRAPPA，希望对大家有帮助，内有K空间数据。(Generalized Autocalibrating Partially Parallel Acquisitions (GRAPPA))

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SP算法，对256*256的lena图处理，比较原图和SP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间(Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and SP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

very useful toolbox for the matlab user

采用8个阵元，利用CAPON算法，进行DOA，画出波达方向估计误差随着信噪比变化的曲线图(Eight elements, the use of the CAPON algorithm of DOA draw the DOA estimation error changes with the SNR curve)

静态图像显著性分析程序，利用matlab开发。加州理工三位教授所写。(Software] Saliency Map Algorithm : MATLAB Source Code Below is MATLAB code which computes a salience/saliency map for an image or image sequence/video (either Graph-Based Visual Saliency (GBVS) or the standard Itti, Koch, Niebur PAMI 1998 saliency map). See the included readme file for details. I also have a newer, simpler version implementing only the Itti algorithm (see simpsal/readme.txt). Please try it out and email me if you have any questions. Download: Please select one of the following to download: [gbvs.zip] This package includes an implementation of the full GBVS algorithm. It also lets you compute an Itti, Koch, Niebur saliency map. It includes a function for computing the ROC score between eye-movements (provided as x,y fixation points) and a saliency map, and a function for displaying a saliency map overlayed on top of an image (as in the screenshot below). Right after you download the zip file, you must change into the gbvs/ directory and run: >>)