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基于相关性的图像置乱程度衡量方法
引用本文:罗信瑶,王远志. 基于相关性的图像置乱程度衡量方法[J]. 信息技术, 2008, 32(2): 71-73,77
作者姓名:罗信瑶  王远志
作者单位:1. 哈尔滨理工大学测控技术与通信工程学院,哈尔滨,150080
2. 安庆师范学院计算机系,安庆,246011
摘    要:为了对数字图像置乱程度进行有效的衡量,根据数字图像相邻点之间像素值的相关性随像素点位置的变化而改变这一原理,提出了一种基于各相邻点之间像素值差异的图像置乱程度衡量新算法.并由Matlab软件仿真结果表明,该方法可以清楚的表现出图像置乱程度与置乱次数的关系.

关 键 词:图像置乱  相关性  Arnold变换  置乱程度  相关性  图像置乱程度  衡量方法  correlation  based  degree  scrambling  image  method of  关系  表现  仿真结果  软件  Matlab  算法  差异  原理  变化  位置  像素点
文章编号:1009-2552(2008)02-0071-03
收稿时间:2007-09-10
修稿时间:2007-09-10

An evaluation method of image scrambling degree based on correlation
LUO Xin-yao,WANG Yuan-zhi. An evaluation method of image scrambling degree based on correlation[J]. Information Technology, 2008, 32(2): 71-73,77
Authors:LUO Xin-yao  WANG Yuan-zhi
Affiliation:LUO Xin-yao1,WANG Yuan-zhi2 (1.College of Measure-Control Technology , Communication Engineering,Harbin University of Science , Technology,Harbin 150040,China,2.Computer Department of Anqing Normal College,Anqing 246011,China)
Abstract:In order to evaluate the image scrambling degree effectively, considering the correlation between neighbor points of the digital image, when the points in the image are changed, the correlation will be changed too, a new evaluation arithmetic of image scrambling degree based on the correlation diversity is provided in this paper. The simulation result of Matlab shows that the method can measure the relationship between the times of image scrambling and scrambling degree effectively.
Keywords:image scrambling   correlation   Arnold transformation    scrambling degree
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