东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2011, Vol. 32 ›› Issue (4): 496-500.DOI: -

• 论著 • 上一篇    下一篇

基于图像相关性的混沌图像加密算法

张伟;朱志良;于海;   

  1. 东北大学信息科学与工程学院;东北大学软件学院;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60872040);;

A chaotic image encryption algorithm based on image correlation

Zhang, Wei (1); Zhu, Zhi-Liang (2); Yu, Hai (2)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China; (2) School of Software, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Zhu, Z.-L.
  • About author:-
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摘要： 利用图像相邻像素间的相关性,提出了一种将4个相邻的像素点"分而治之"的方法,对传统混沌加密框架中的置乱过程进行改进.首先对相邻的像素点进行分离,对分离后的4组像素点使用4组不同参数的"猫映射"进行置乱,最后再进行组合和扩散操作.模拟结果表明,该算法在保证加密算法安全性的前提下,减少了加密算法中置乱操作的次数,从而有效地减少了加密时间.

关键词: 混沌理论, 图像加密, 明文相关性, 图像置乱, 图像扩散

Abstract: Considering the high correlation among adjacent pixels, a "divide and conquer" algorithm was proposed for four adjacent pixels to improve the permutation phase of traditional chaotic encryption schemes. Adjacent pixels were first separated, and then the four groups of separated pixels were permutated using "cat maps" of the four groups having different parameters, followed by reconstruction and diffusion. Simulations results indicated that, when security of the encryption algorithm could be guaranteed, permutation and encryption time decreased.

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