Desktop

Markov随机场的例子程序，包括ICM，BP算法，matlab编写，共30几个函数。(Markov random field examples of procedures, including ICM, BP algorithm, matlab prepared a total of 30 number of functions.)

说明：  采用haar小波实现二维图像的分解与重构（mallat算法）：(Two-dimensional image using haar wavelet decomposition and reconstruction (mallat algorithm):)

线性插值射线追踪法，设置模型为一三层模型，范围100m×100m(Linear interpolation ray tracing method, set the model for a three-tier model, the range 100m100m)

说明：  自己编写的图像质量评价函数，包括方差、平均梯度、模糊熵、信息熵(I have written the image quality evaluation function, including the variance, with an average gradient, fuzzy entropy, information entropy)

压缩感知中的梯度投影重构算法，经修改可以运用与单像素相机成像(Gradient projection reconstruction algorithm of compressed sensing, modifications can be used with single pixel camera imaging)

这是matlab官方网站的一个快速实现svd分解的函数，通过对矩阵的截断加速(This is a quick realization svd decomposition function matlab official website, through the cut-off acceleration matrix)

图象经过gabor小波滤波。gabor小波与图像卷积。(Image after wavelet filtering gabor. gabor wavelet and image deconvolution.)

说明：  计算GIF彩色图像的差异，两幅图像大小一致且调色板一致。其中Psnr 为两幅图像的psnr值.P 为两幅图像之间像素索引不同的索引值占图像大小的比例。(GIF image color difference calculation, the two images the same size and same color palette. One Psnr the two images psnr value. P index for the pixels between two images, the index values of different ratio of total image size.)

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

基于小波变换的压缩感知图像处理,及三种重构算法.(Compression based on wavelet transform the perceived image processing and three reconstruction algorithm.)