数字水印

vssamp算法，图像变步长自动匹配重构重构算法，基于samp算法，更快速有效的重构复杂图像(vssamp variable step size image reconstruction algorithm automatically matches reconstruction, samp algorithm based on more quickly and efficiently reconstruct complex images)

主要用来对矩阵进行奇异值分解，与MATLAB有同样的效果(It is mainly used to perform singular value decomposition on matrices and has the same effect as MATLAB.)

基于MATLAB光学三维重构中的四步相移算法。( U57FA u4E8EMATLAB u5149 u5B66 u4E09 u7EF4 u91CD u6784 u4E2D u7684 u56DB u6B65 u76F8 u79FB u7B97 u6CD5 u3002)

基于图像灰度共生矩阵的特征提取代码，程序实现0 45 90 135度4个方向的特征提取(GLCM based on image feature extraction code, the program achieved 04,590,135 degrees in four directions of the feature extraction)

说明：  用于相位解缠，提供好的解缠方法和解缠效果，能够更好的得到真实值(For phase unwrapping, unwrapping methods provide good wrapped around the effect of reconciliation that can better be the true value)

详细介绍了matlab下的曲线和曲面拟合，并有一份word的原理说明，介绍的很详细，可供参考和实际运用(Described in detail under the matlab curve and surface fitting, and a word there is the principle that the very detailed introduction is available for reference and practical use of)

基于DQ效应的JPEG图像真伪检测算法，通过检测图像DCT直方图的DQ效应计算图像的概率图，该算法快速、准确，能自动定位篡改区域(JPEG image detection algorithm based on the authenticity of DQ effect, calculated image by DQ effect detection probability map image DCT histogram, the algorithm is fast, accurate, and can automatically locate tampered area)

在统计学中，皮尔逊积矩相关系数（英语：Pearson product-moment correlation coefficient，又称作 PPMCC或PCCs[1], 文章中常用r或Pearson s r表示）用于度量两个变量X和Y之间的相关（线性相关），其值介于-1与1之间。在自然科学领域中，该系数广泛用于度量两个变量之间的相关程度。它是由卡尔·皮尔逊从弗朗西斯·高尔顿在19世纪80年代提出的一个相似却又稍有不同的想法演变而来的。这个相关系数也称作“皮尔森相关系数r”。(In statistics, Pearson product-moment correlation coefficient (English: Pearson product-moment correlation coefficient, also known PPMCC or PCCs [1], the article used or Pearson s r r representation) is a measure of the two variables X and Y between correlation (linear correlation), a value between-1 and 1. In the natural sciences, the coefficient is widely used to measure the degree of correlation between the two variables. It is made a similar Karl Pearson Francis Galton in the 1880s but made a slightly different idea evolved. The correlation coefficient is also called Pearson s correlation coefficient r .)

就用利用OPENCV亚像素级角点检测，这个方法对于初学代码程序的人来说很实用(On the use of the use of sub-pixel OPENCV corner detection, this method code program for the beginner who is very practical)

采取逆滤波和维纳滤波两种图像恢复算法对退化图像的恢复实现过程。 (taken inverse filter and two Wiener filtering algorithm to image restoration of degraded images to achieve the restoration process.)