摘要
针对现有图像加密算法相关性较高的问题,提出一种基于DNA编码与统计信息优化的图像加密算法。采用DNA编码将图像的RGB三色通道分转换为DNA序列,并通过DNA运算对像素进行空间域的失真处理;然后对图像进行扩散处理,并使用和声搜索算法搜索扩散阶段的最大熵;最终对图像进行混沌置乱处理,通过和声搜索算法搜索该阶段的最小相关系数。仿真实验结果显示,本算法获得的熵与相关系数分别接近理想值8与0,同时获得了理想的安全性。
Concerning the high correlation of the existing image encryption algorithms ,this paper proposed a DNA coding and statistical information optimization based image encryption algorithm. Firstly,it used DNA coding method to transform the RGB channels of the image to DNA sequence, and realized the pixels distortion though DNA operations. Then, it did the pixels diffusion of the plain image, and used the dynamic harmony search （DS） to search the maximum entropy. Lastly, it did the pixels permutation of the plain image, and used the DS to search the minimum correlation coefficient. Simulation experimental results show that the proposed algorithm realizes that the optimal entropy and correlation coefficient are close to ideal values 8 and 0, respectively, and performs a satisfied security.
作者
孙倩
胡苏
Sun Qian Hu Su(lnformationization Management Dept. , Hubei University, Wuhan 430062, China All Optics Lab ＆ 2012 Labs, Huawei Technologies Co. , Ltd. , Shenzhen Guangdong 518000, China Institute of Big Data ＆ Computer, Sun Yat-sen University, Guangzhou 510275, China)
出处
《计算机应用研究》
CSCD
北大核心
2017年第9期2799-2803,2812,共6页
Application Research of Computers
基金
广东省自然科学基金资助项目(2016A030310202)
关键词
图像加密
DNA编码
信息熵
相关系数
和声搜索
混沌变换
image encryption
DNA coding
entropy of information
correlation coefficient
harmony search
chaotic trans-form
