双随机全息数字水印技术代码

本代码是使用matlab编写的harr特征的代码，值得大家研究和参考(This code is the use of matlab prepared harr characteristics of the code, it is worth study and reference)

用fibonacci变换方法对图象做置乱或逆置乱，效率极高，在信息隐藏中属常用的方法之一。调用函数为f=fibonacci_t(I,r,s)，其中参数分别为I=被置乱的图像，r=置乱密钥，s=0置乱，s=1逆置乱(Fibonacci transformation method used to do on the image or inverse Scrambling Scrambling, high efficiency in the information hidden in one of the methods are commonly used. Call the function f = fibonacci_t (I, r, s), which parameters were I = have been scrambling the image, r = scrambling key, s = 0 Scrambling, s = 1 inverse Scrambling)

说明：   最简单的差分格式有向前、向后和中心3种。 向前差分：f (n)=f(n+1)-f(n) 向后差分：f (n)=f(n)-f(n-1) 中心差分：f (n)=[f(n+1)-f(n-1)]/2(The easiest difference format forward, backward, and three kinds of centers. Forward differencing: f (n) = f (n+ 1)-f (n) Backward difference: f (n) = f (n)-f (n-1) Central difference: f (n) = [f (n+ 1)-f (n-1)]/2)

国内权威大家写的信号检测理论,主要讲述了信号理论和估计。(the book is literally book for signal processing,it was use for master students who want to learning signal detect and estimate)

实现不规则形状碎纸片的拼接，并展示出原图像(The splicing of irregular shaped pieces of paper is realized and the original image is displayed.)

通过Markov随机场（MRF）实现图像的分割，例程给出了图像分割为3类的MRF算法(By Markov random field (MRF) for image segmentation, image segmentation routine gives the MRF algorithm for the three classes)

The Mathematics of Medical Imaging-The Radon Transform,Back Projection,Discrete Image Reconstruction,The Fourier Transform,Filters and convolutions

将2D图像转换为红蓝3D效果。程序由本人编写，算法来自论文《A novel 2D-to-3D conversion technique based on relative height depth cue》by Yong Ju Jung等。(2D-to-3D Conversion. The codes are written by myself and according to the article "A novel 2D-to-3D conversion technique based on relative height depth cue" by Yong Ju Jung.)

Radon 算法的实现及原理讲解,个人整理的重要资料.(Radon algorithm and explain the principle, personal collation of vital information.)

说明：  matlab2016b编写的调用了库函数的混合高斯背景建模源代码。(The source code of Mixture Gauss Background Modeling which calls library function is written by MATLAB 2016b.)