一种脆弱的图像自适应置乱算法  

Fragile and Adaptive Image Scrambling Algorithm

作　　者：车生兵[1] 车祖国[1] 

机构地区：[1]中南林业科技大学计算机科学学院,长沙410004

出　　处：《计算机工程》2009年第5期156-158,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(60373000);中南林业科技大学青年科学基金资助项目(061018B;06Y003;07007A)

摘　　要：证明在离散余弦变换和小波变换中,图像经空域置乱前后在频域内不变的系数规律,根据构造的复合混沌迭代动力系统,提出2个利用不变频域变换系数规律的构造函数,生成复合混沌迭代动力系统需要的初始值,给出脆弱的图像自适应置乱算法以及相似度和抗攻击半径的置乱算法评价概念。实验表明,算法无需任何附加信息即可提取出原始图像,对各种攻击十分敏感,平均抗攻击半径高于一般算法,适用于法庭、医学等要求极其严格的场合。This paper proves invariable coefficient rule of the image in discrete cosine and wavelet transformation when it is scrambled in space domain. Based on the constructed composite chaotic iterative dynamic system, whose invariant distribution density is one, and in order to initialize composite chaotic iterative dynamic system, it puts forward two constructed functions using image scramble constant as input parameter. A fragile and adaptive image scrambling algorithm and two new scrambling evaluative parameters called similitude degree and anti-tamper radius are given. Experiments show that the algorithm can extract original image without any accessional information, and it is sensitive to all kinds of attacks. Its anti-tamper radius is larger than other scrambling algorithms, so it can be applied to the situations of strictest requests, such as law court and physic.

关 键 词：置乱不变值 复合混沌迭代动力系统 自适应置乱 脆弱置乱 抗攻击半径 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]