retinex

关于图像小波边缘检测的MATLAB程序，用于一般图像边缘检测(wavelet-edge)

说明：  用于显著性检测的对比算法SP的MATLAB版本，比较新的是2013年的，亲测可用(MatLAB version of SP, a contrast algorithm for saliency detection, is relatively new in 2013, and pro-test is available.)

符合高斯分布的关于随机粗糙表面的生成代码(Meet the Gaussian distribution of the random rough surface on the generated code)

包含滤波模板，形态学运算，边缘检测结合经自己修改过的hough变换编写的vc程序，成功检测机场跑道和任何图像中最明显的现状特征，经测试，检测精度高。对学习vc编程用于图像处理有帮助。(hough transform based image processing package which is useful for detecting airfield like straight line features.)

KSVD图像去噪,组稀疏编码，新的去噪思路(KSVD image denoise，group spare coding)

本文档主要讲解了基于图论着色的动态频谱分配研究，可以让大家快速的学习认知无线电中的频谱分配(This document is mainly on the dynamic spectrum allocation based on graph coloring theory research, so that we can quickly learn the spectrum allocation in cognitive radio)

奇异值分解降噪程序，压缩包里有程序的详细说明，内附有word文档的说明(SVD noise reduction program, compression bag has a detailed description of the program, enclosing a word document description)

The tool box contains the matlab code for image denosing in nsct.

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)

极化SAR图像处理，经典的Lee滤波处理，可实现sar图像的去除斑点噪声处理(SAR image filtering based on Lee s algorithm.)