基于像素动态更新与差异扩散的图像加密算法  被引量:2

Image encryption algorithm based on pixel dynamic update and differential diffusion

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作  者:李贤阳[1,2] 阳建中 杨竣辉[3] 陆安山 LI Xianyang;YANG Jianzhong;YANG Junhui;LU Anshan(College of Electronic and Information Engineering,Qinzhou University,Qinzhou 535011,China;Qinzhou Electronic Product Testing Key Laboratory,Qinzhou 535011,China;College of Information Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China)

机构地区:[1]钦州学院电子与信息工程学院,广西钦州535011 [2]钦州市电子产品检测重点实验室,广西钦州535011 [3]江西理工大学、信息工程学院,江西赣州341000

出  处:《光学技术》2018年第4期453-460,共8页Optical Technique

基  金:国家自然科学基金资助项目(61273328);广西高校中青年教师科研基础能力提升项目(2017KY0795);钦州市科技攻关项目(20164410);钦州市物联网先进技术重点实验室主任课题(IOT2017B001);钦州市电子产品检测重点实验室开放资助项目

摘  要:提出了基于像素动态更新与差异扩散的图像加密算法。引入Lucas与Fibonacci序列,充分利用二者的更新特点,基于二维映射,设计像素动态更新机制,在每一轮像素混淆过程中,利用不同的随机序列完成像素位置置乱,避免了置乱周期性;依据人眼视觉特性,建立像素重要等级模型,明文像素分类为视觉像素与次级像素;利用明文像素生成映射的初值,通过建立序列量化机制,获取一组密钥流;根据密钥流,设计两个像素扩散函数,对视觉像素与次级像素进行差异扩散,以输出密文。测试数据显示:与当前图像加密机制相比,所提算法具有更高的安全性,输出密文像素分布更加均匀。The image encryption algorithm based on pixel dynamic update and differential diffusion was proposed.The pixel dynamic update mechanism was designed by introducing the Lucas,Fibonacci sequence and 2 D Arnold map to scramble pixel positions with different random sequences during each round of pixel aliasing to avoid scrambling periodicity;The important level model of pixels was introduced according to the human visual characteristics to classify the plain into visual pixels and secondary pixels;And a set of key streams was obtained by establishing a sequence quantization mechanism,as well as using the pixel value of plaintext to generate initial value of the logistic map;Two pixel diffusion functions were designed according to the key stream to diffuse the visual pixels and the secondary pixels to output the cipher.Test data shows that this algorithm has higher security with more uniform pixel distribution of output cipher compared with the current image encryption mechanism.

关 键 词:图像加密 像素动态更新 差异扩散 像素重要等级 视觉像素 次级像素 像素扩散函数 

分 类 号:TP391[自动化与计算机技术—计算机应用技术]

 

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