Description: 彩色图像的篡改检测及自恢复算法赵春晖，孙建军，朱海峰(哈尔滨工程大学信息与通信工程学院，黑龙江哈尔滨150001)摘要：数字水印是图像认证的有效手段之一．利用小波变换提出一种计算简单的彩色图像水印算法，将一个图像的主要内容嵌入该图像自身之中，用均值量化的方法在亮度信号中嵌入水印，实现篡改检测和定位篡改区域；用多余的色度空间嵌入亮度信号和色度信号，用于恢复被篡改的图像内容．该算法可以获取较高的峰值信噪比，具有很好的鲁棒性．实验结果表明，该算法对删除、替换等恶意图像篡改具有良好的检测、定位和自修复能力．-color image tamper detection and self-recovery algorithm Zhao Chunhui, Sun Jianjun, Zhu Haifeng (Harbin Engineering University, Information and Communication Engineering Institute, Harbin, Heilongjiang 150001) Abstract : digital watermark image authentication is one of the effective means. Using wavelet transform A simple calculation of the color image watermarking algorithm, an image of the main elements embedded in the image itself, and use of quantitative methods mean the luminance signal embedded watermark, achieve tamper detection and localization tampering with the region; use of surplus space embedded color luminance signals and chrominance signals, for the restoration of tampering with the image content. The algorithm can generate a higher signal-to-noise ratio of the peak value, h Platform: |
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Author:ghostsx |
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Description: 若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成
W（n+1）=w（n）+ e（n）x（n）
=w（n）+ （3.1）
式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。
-Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想. Platform: |
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Author:闫丰 |
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Description: 一种简单的去除异常的方法。行均值差分比较法，通过判断相邻行均值之差来寻找异常行，并用线性插值将其校正。-A simple way to remove the anomaly. OK mean difference of comparative law, by determining the mean difference between adjacent rows to find the unusual lines, and its correction with linear interpolation. Platform: |
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Author:tianli |
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Description: Block Matching Algorithms for Motion Estimation
This project contains the project report and source code by Aroh Barjatya for Digital Image Processing Class at Utah State University.
Following is a short description of the m files in this zip
motionsEstAnalysis.m Script to execute all Algorithms
motionEstES.m Exhaustive Search Algorithm
motionEstTSS.m Three Step Search Algorithm
motionEstNTSS.m New Three Step Search Algorithm
motionEstSESTSS.m Simple And Efficient Search Algorithm
motionEst4SS.m Four Step Search Algorithm
motionEstDS.m Diamond Search Algorithm
motionEstARPSm Adaptive Root Pattern Search Algorithm
costFuncMAD.m Mean Absolute Difference Function
minCost.m minimum cost among macro blocks
motionComp.m motion compensated image creator
imgPSNR.m finds image PSNR w.r.t. reference image
The test images can be found at http://cc.usu.edu/~arohb/caltrain.zip-Block Matching Algorithms for Motion Estimation
This project contains the project report and source code by Aroh Barjatya for Digital Image Processing Class at Utah State University.
Following is a short description of the m files in this zip
motionsEstAnalysis.m Script to execute all Algorithms
motionEstES.m Exhaustive Search Algorithm
motionEstTSS.m Three Step Search Algorithm
motionEstNTSS.m New Three Step Search Algorithm
motionEstSESTSS.m Simple And Efficient Search Algorithm
motionEst4SS.m Four Step Search Algorithm
motionEstDS.m Diamond Search Algorithm
motionEstARPSm Adaptive Root Pattern Search Algorithm
costFuncMAD.m Mean Absolute Difference Function
minCost.m minimum cost among macro blocks
motionComp.m motion compensated image creator
imgPSNR.m finds image PSNR w.r.t. reference image
The test images can be found at http://cc.usu.edu/~arohb/caltrain.zip Platform: |
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Author:Yashil |
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Description: 数据处理及误差分析采用了matlab软件来实现，它的界面虽然没有VB等直观简便，但其可调用的函数多，实现起来比较方便，程序中已经实现的功能有：
（1）求算术平均值；
（2）求残余误差（绝对误差）；
（3）求标准差；
（4）判断粗大误差，如果发现粗大误差,剔除粗大误差后再进行计算；
（5）判断数据是否具有线性误差或者周期性误差。
-Data processing and error analysis using matlab software to achieve, its intuitive interface, while not VB so simple, but its function can be called many realize it was easier, the program has been implemented features are: (1) Find the arithmetic mean (2) Find the residual error (absolute error) (3) Find the standard deviation (4) to determine gross error, if found to gross error, calculated after excluding gross error (5) to determine whether data has linear error or Periodic error. Platform: |
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Author:kiddy |
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Description: 运动估计块匹配算法
以下是工程中m文件的简单注释：
main.m 可通过主函数调用各种基本的块匹配算法
FullSearch.m 全搜索法（又称为Exhaustive Search）
ThreeStepSearch.m 三步搜索法（Three Step Search）
NewTSS.m 新三步搜索法（New Three Step Search Algorithm）
SESTSS.m 简便高效的三步搜索法（Simple And Efficient TSS）
FourSS.m 四步搜索法（Four Step Search）
DS.m 菱形搜索法（Diamond Search）
ARPS.m 自适应路径搜索法（Adaptive Root Pattern Search）
costFuncMAD.m 绝对误差均值函数
minCost.m 宏块间代价最小块
motionComp.m 图像重建
imgPSNR.m 计算图像的PSNR值-Block matching motion estimation algorithm The following is a simple project m file comments: main.m calls through the main function of basic block matching algorithm FullSearch.m full search method (also known as the Exhaustive Search) ThreeStepSearch.m three-step search method (Three Step Search) NewTSS.m new three-step search method (New Three Step Search Algorithm) SESTSS.m simple and efficient three-step search method (Simple And Efficient TSS) FourSS.m four-step search method (Four Step Search) DS. m diamond search method (Diamond Search) ARPS.m adaptive path search method (Adaptive Root Pattern Search) costFuncMAD.m mean absolute error between the cost of the function minCost.m macroblock most small motionComp.m calculated image reconstruction imgPSNR.m image PSNR value Platform: |
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Author:alan |
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Description: 均值为K的聚类算法，是一种对聚类数据进行的最简单的算法，广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions. Platform: |
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Author:sunjianqing |
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Description: 卡尔曼滤波在对离散线性系统进行最优化的时候用到系统的预测方程和测量方程，但是只考虑了最简单的线性关系，即系统预测方程线性化，由于变量的均值和方差只能进行线性运算，那么当系统预测方程非线性化的时候该怎样计算预测值的方差呢？ UKF就是为了研究解决这种非线性关系的。-Kalman filter used in optimization of discrete linear systems prediction and measurement equations of the system, but only consider a simple linear relationship, that the prediction equation linearization, the mean and variance of the variables only linear operator, then when the nonlinear prediction equation of how to calculate the variance of the predictive value? UKF is to study and solve such a nonlinear relationship. Platform: |
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Author:shaodong |
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Description: 设每位同学自己的学号为n，采用遗传算法求解下面优化问题：
min f(x1,x2)=(4-2.1*x1^2+(x1^4)/3)*x1^2+x1*x2+(-4+4*x2^2)*x2^2+n-20111369
s.t. -3<x1<3 -2<x2<2
函数 为六峰值驼背函数（Six-hump Camel Back Function），要求如下：
（i）mesh()为Matlab中常用的画图函数，请查阅相关书籍或help，掌握mesh用法，画出 的三维图像；
（ii）用遗传算法工具箱求解该优化问题，给出求解结果，画出每代群体的最优适应度、适应度均值图像。
（iii）尝试至少一种提高求解效果的方法，并简单比较、分析。
-Set each student their own student number for n, using the genetic algorithm for solving the following optimization problem:
Min (x1, x2) = f (4-2.1* x1 ^ 2+ (x1 ^ 4)/(3)* x1 ^ 2* x2+ x1+ x2 ^ (4+ 4* 2)* x2 ^ 2+ n- 20111369
S.t.- 3 < x1 < 3-2 "x2" 2
Functions for Six peak hunchback (Six- hump Camel Back Function), the requirements are as follows:
(I) mesh () as that is commonly used in Matlab drawing function, or help please refer to the relevant books, to master the use mesh, draw the 3 d image
(ii) using genetic algorithm toolbox to solve the optimization problem, is given as a result, to draw the best fitness of each generation group, the mean fitness images.
(iii) to try at least a way to improve the effect of solution, and a simple comparison and analysis.
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Author:天溟 |
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Description: 简单的K均值算法，使用matlab平台编程，两个文件一个是数据文件，一个是算法文件-Simple K-means algorithm, using matlab platform programming, one file is a data file, and the other is a algorithm file. Platform: |
Size: 1024 |
Author:Jiamin Bao |
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Description: 简单的滤波器，包括中值滤波器，维纳滤波器，均值滤波器等等。(Simple filters, including median filter, Wiener filter, mean filter and so on.) Platform: |
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Author:tinypz
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Search - simple mean matlab