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基于ADMM的TV正则化最小化稀疏重建算法(TV Minimization Sparse Reconstruction Algorithms Based on ADMM)

This is a Scaling function definition Image cutoff ratio for H = 3

曲波变换程序包，带有测试图片。请尊重别人的劳动。(Qu Bo transform package, with a test picture. Please respect other people)

雾天图像增强算法，包括单尺度和多尺度的算法。(fog image enhancement)

用于数字图像处理的椒盐噪声滤波的自适应算法，(Salt and pepper for digital image processing adaptive noise filtering algorithm)

经典的数字图像处理的形态学处理，包含源代码(Digital image processing morphological processing)

本算法在Matlab2008b 环境下实现。包括main,san 和ssd 三个函数。 这次实现的算法并不是比较两个已经知道的点是否匹配，而是已知一个图形中的特征点，在另外一个图像中找到与其最匹配的点，匹配度用SAD 或者SSD 来度量。 main.m 是程序的入口，包括生成和读入实验数据，调用sad 函数和ssd 函数求匹配点，最后绘 制出最后的结果。sad.m 是用sad 度量方法在另一图中求解匹配点的函数实现，有3 个参数 y=sad(x,image1,image2)。其中x 是代匹配的数据，image1 是图像1 数据，image2 是图像2 数据。 从理论上分析，ssd 比sad 算法要复杂一点，经过测试，在一幅640*480 的图像中寻找10 个匹配点数据SAD 用时25.062519 秒，SSD 用时25.291432 秒。(The algorithm Matlab2008b environment to achieve. Including the main, san, and ssd three functions. The implementation of the algorithm is not the point of comparing two matches already know, but the known feature points in a graphic, an image found in the other match with the most points, matching measured with the SAD or SSD. main.m is the entry, including the generation and reading test data, call the sad ssd function evaluation functions and matching points, and finally draw the final result. sad.m measure is sad figure in another match point in the function implementation to solve, there are three parameters y = sad (x, image1, image2). Where x is the generation of matching data, image1 is the data image 1, image2 is the image 2 data. From the theoretical analysis, ssd little more complicated than the sad algorithm, tested in a 640* 480 images of 10 match points in the search for data using time 25.062519 seconds SAD, SSD with time 25.291432 seconds. )

用于EEG脑部图像网络绘制的matlab程序包(Matlab package for EEG brain image network rendering)

用matlab实现的基于广义S变换的图像去噪分型处理方法，简单易读(Using matlab realize the generalized S transform-based image denoising typing treatment methods, a simple easy-to-read)

通过自定义数学运算，在图像处理中做直方图均衡化的matlab实现(Through custom mathematical operation, do the histogram equalization of matlab in image processing)