2D-Wavelet-Transformation

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: >>)

MCA图像修复,包含MCA和EM图像修复算法(MCA inpainting)

IDL编程：tif图像批量layerstacking，并保留原有地图投影。使用时只需要修改输入和输出路径。(IDL programming: tif image batch layerstacking, and retain the original map projection. Only need to modify the input and output paths use.)

说明：  MATLAB开发接收串口数据并实时将其转化为图形显示(MATLAB Develops and Receives Serial Port Data and Converts it into Graphic Display in Real Time)

小波滤波器设计和去噪matlab经典程序，给出了简单的滤波器设计，并用其进行了去噪处理(Wavelet filter designing and denosing)

说明：  几种常用的SAR图像滤波程序：初值滤波、中值滤波、维纳滤波、Lee滤波、kuan滤波等(some common filter program of SAR image,such as Lee filter,kuan filter.)

说明：  图像融合可以用的PCNN工具箱，可以使用在图像融合里(PCNN Toolbox for Image Fusion)

图象分割程序：先用梯度函数进行边缘检测,然后二值化后分割图象(Image segmentation process: first the gradient edge detection function, and then after binarization image segmentation)

MRF程序：建立了马尔科夫随机场 应用于图像去噪 不过此程序有待进一步调试(MRF procedure used in image denoising)

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SL0算法，对256*256的lena图处理，比较原图和SL0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 SL0 algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SL0 algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)