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二维分段线性混沌映射耦合中国剩余定理的图像加密压缩同步算法

郭祖华 刘丹

计算机应用与软件2015,Vol.32Issue(5):288-291,329,5.
计算机应用与软件2015,Vol.32Issue(5):288-291,329,5.DOI:10.3969/j.issn.1000-386x.2015.05.070

二维分段线性混沌映射耦合中国剩余定理的图像加密压缩同步算法

IMAGE ENCRYPTION AND COMPRESSION ALGORITHM BASED ON 2 D PHASED LINEAR CHAOTIC MAP COUPLING CHINESE REMAINDER THEOREM

郭祖华 1刘丹1

作者信息

  • 1. 河南机电高等专科学校计算机科学与技术系 河南 新乡 453003
  • 折叠

摘要

Abstract

Since current image compression and encryption algorithms all divide the diffusion and compression into two separate phases, and not able to make them two be executed synchronously in a single stage, this causes the unstable compression ratio and induces poor com-pression quality, moreover it is hard to achieve real-time performance, the computational complexity is quite high as well.To deal with this, we design the generation mechanism of permuted gray level sequence, and construct the synchronised diffusion-compression structure;by in-troducing Chinese remainder theorem and integrating it with chaotic map, we propose the image encryption and compression algorithm in which the 2D phased linear chaotic map is integrated with Chinese remainder theorem.The original image is permutated by 2D phased linear chaotic map;then the permuted image is synchronously diffused and compressed by the compression ration generated by Chinese remainder theorem.At last we use MATLAB simulation platform to test this algorithm, and the result show that it has excellent performance in encryp-tion and compression, the compression ratio produced is very stable, and the diffusion mechanism is highly secure, the key space is also large enough, thus the anti-attack performance improves significantly.

关键词

二维分段线性混沌映射/中国剩余定理/图像加密/Lyapunov指数/压缩比

Key words

2D phased linear chaotic map/Chinese remainder theorem/Image encryption/Lyapunov exponent/Compression ratio

分类

信息技术与安全科学

引用本文复制引用

郭祖华,刘丹..二维分段线性混沌映射耦合中国剩余定理的图像加密压缩同步算法[J].计算机应用与软件,2015,32(5):288-291,329,5.

基金项目

河南省教育厅科学技术研究重点项目(13A520221) (13A520221)

河南省高等学校青年骨干教师计划项目 (2011GGJS-198). (2011GGJS-198)

计算机应用与软件

OACSCDCSTPCD

1000-386X

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