edge-extraction

说明：  基于L2范数的多帧图像超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。(Based on the L2 norm of the multi-frame image super-resolution image reconstruction algorithm, on the basis of existing algorithms to improve computational accuracy and efficiency.)

基于sift特征点的图像复制粘贴篡改被动认证(sift feature points copy-move forgery detction)

VisualC++数字图像处理技术详解第2版光盘-第五章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter V)

菲涅尔衍射程序，能够获得所需图像的菲涅尔衍射图样。(Fresnel diffraction procedure, the desired image can be obtained of the Fresnel diffraction pattern. )

说明：  SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

一个基于Tikhonov正则化超分辨率重建，可以成功运行。(A Tikhonov based regularized super resolution reconstruction can be successfully operated.)

C++ 写的一些算法模板 ，比如Kruskal、KMP、欧几里德算法、最大匹配(匈牙利算法)、最小费用最大流、字符串的哈希方法、增广路算法、网络最大流_邻接表等……(C++ write some algorithms template, such as Kruskal, KMP, Euclid arithmetic, maximal matching (Hungary) is proposed, the minimum cost and maximum flow, string hash method, augmented road algorithm, network maximum flow _ adjlink etc......)

Image watermark using 3 level DWT

经典的张正友摄像机标定算法源码,实验图片及实验数据(Zhengyou Zhang classic camera calibration algorithm source code, experimental pictures and the experimental data)

该压缩包里包括了一幅图像的位平面解，即一幅灰度图像可以分成八个位平面。利用它可以转化到彩取色图像中去，很有用处的。(The bag includes a compressed image bit-plane solution, that is, a gray image can be divided into eight bit-plane. Use it can be transformed into the color check color images, and useful.)