Matching-neighborhood-difference-

说明：  经典的基于非局部思想的图形图像去噪模型，也即非局部滤波，基于matlab实现(The classical image denoising model based on nonlocal idea, namely non local filtering, is realized based on MATLAB)

说明：  图像处理算法质量评估，图像结构相似度（ssim)评价的matlab实现，并附带原始论文pdf(This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images. Please refer to the following paper: Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error measurement to structural similarity" IEEE Transactios on Image Processing, vol. 13, no. 1, Jan. 2004.)

POCS算法 基本算法 肯定能用经过多次试验保证质量希望能够帮助大家 大家加油(POCS algorithm is sure to be able to use a number of tests to ensure that the quality of the hope can help everyone to refuel)

KSVD算法程序，完成KSVD重构字典的程序 (KSVD algorithm program to complete the dictionary KSVD reconstruction program)

说明：  Matlab代码文字识别：包括图像分割,粘连字符切分,文字识别(Using MATLAB to realize the code of recovering scene view distance map (depth map) from binocular map)

快速傅里叶变换的C实现，采用新的倒序算法，程序代码只有一百多行，就要以实现千个采样点的计算(Fast Fourier Transform of C realized, the introduction of a new reverse algorithm, program code, only more than 100 lines, it is necessary to achieve the 1000 sampling points calculation)

通信专业滤波算法中通过改变不同的观测角计算接受信号的信噪比。(Communications professional filtering algorithm by changing the different observation angle calculation to accept the signal-to-noise ratio.)

利用几种阈值法从给定的图像中分割出目标，去除背景(Use several thresholds to segment the target a given image and remove the background)

含实验报告以及测试数据 基于离散点的构TIN算法 一、算法思想 （1）首先，找出离散点集中相距最近的两点，连接这两点形成TI、的初始基线。  （2） 然后，找出包含此基线的另外一个点构成三角形。寻找第三点的方法: △按Delaunav三角形的判断法则乎找第三点。 △或者.按距离基线中点最近的原则挤找第三点。 （3）连接孰点与基线的两个端点形成两条新边，构成三角形。  （4）抓这两条新边为基线，重复上述过程。直到两条新边扩展完成。  （5）重复上述过程，依次循环处理所有新边。直到所有离散点均成为TIN的端点。

Show how to use unsharp masking algorithm. No image processing toolbox is needed.