基于混沌理论和量化方法实现一种针对灰度图像的鲁棒水印算法 QIM_Block-Equel

本代码主要给出了激光粒度仪颗粒散射光强分布以及4种粒度反演算法，以及4种算法之间的比较。四种反演算法为：TSVD、Chaine、Tikhonov和l1正则化。(The code gives the Zetasizer particle scattering intensity distribution, and four kinds of particle inversion algorithm, as well as a comparison between the four algorithms. Four kinds of inversion algorithm is: TSVD, Chaine, Tikhonov and l1 regularization.)

1.DCT变换，对整个图像的直接DCT变换和分块为8*8做DCT变换，并设定阈值。 2.汉明编码（7，4），译码以及找出错误图样和纠错。并在不同的转移概率的BSC道下进行传输。(DCT:Direct DCT and IDCT,blocking. hamming coding:decoding and picking up errors.)

图像变换检测 主成分分析法 含PDF介绍(iamge change detection using PCA)

说明：  通过matlab，可以快速得到图像的信噪比，峰值信噪比等。里面也有一些解释(Through MATLAB, the signal-to-noise ratio and peak signal-to-noise ratio of image can be obtained quickly. There are also some explanations)

压缩感知中利用增广拉格朗日方程解最小稀疏正则化的恢复算法(DAL solves the dual problem of (1) via the augmented Lagrangian method (see Bertsekas 82). It uses the analytic expression (and its derivatives) of the following soft-thresholding operation， which can be computed for L1 and grouped L1 (and many other) sparsity inducing regularizers. If you are interested in our algorithm please find more details in our technical report or in my talk at Optimization for Machine Learning Workshop (NIPS 2009).)

利用霍夫变换进行直线检测的算法实现 设置不同的阈值来控制直线的输出(detect lines in image)

极化SAR图像处理中 相干目标的 KROGAGER分解程序(Polarization SAR image processing in coherent goal decomposition process KROGAGER)

对所采样的原始图像进行噪声滤波、边缘检测、特征提取、利用多项差值亚像素算法。(the target image is be processed that it is filtered noise, edge detection and character be got.)

这个matlab程序是基于纹理的图像检索源码，纹理特征是图像的基本特征特征之一，所以基于纹理的图像检索是图像处理的热点。(The matlab program is based on the source texture image retrieval, texture image is characterized by one of the characteristics of the basic features, so texture-based image retrieval is a hot image processing.)

基于最小矩方判断灰度重心法计算光心位置的像素点，并输出结果。(Analyzing calculate pixel gray scale optical center position the center of gravity method, and the output torque based on the minimum square.)