数字图像混沌序列抽样加权强置乱算法仿真  

Simulation of Sampling Weighted Strong Scrambling Algorithm for Chaotic Sequence of Digital Images

作　　者：贺国平[1,2] 张国荣[1] HE Guo-ping;ZHANG Guo-rong(Department of Computer Science,Xinzhou Normal University,Xinzhou Shanxi 034000,China;School of Computer Science and Artificial Intelligence,Wuhan University of Technology,Wuhan Hubei 430015,China)

机构地区：[1]忻州师范学院计算机学院,山西忻州034000 [2]武汉理工大学计算机科学与技术学院,湖北武汉430015

出　　处：《计算机仿真》2024年第10期192-195,350,共5页Computer Simulation

基　　金：山西省教育厅项目(J20220971);山西省忻州师范学院教学改革研究项目(JGYB202226)。

摘　　要：数字图像置乱关系到个人隐私和信息安全问题,为了保护图像中的敏感信息,提出一种基于位交换和混沌优化的数字图像置乱算法。使用散列函数获得数字图像明文的密钥流,采用与明文相关的子密钥推导像素初始值,通过非线性交叉生成位交换算子,增强明文信息敏感性;运用Logistic方程得到混沌序列,引入抽样加权方法提高图像置乱强度,采用混合蛙跳方法按照族群划分实施信息传输,将混沌序列内的实数从小到大排列,初始混沌抽样后构成的混沌序列用于图像中,显著提升图像置乱强度,完成数字图像置乱。仿真结果表明,上述方法拥有极高的安全性和优秀的加密性能,可以为数字图像在各领域的安全使用提供可靠借鉴。Digital image scrambling is related to personal privacy and information security.In order to protect sensitive information in images,a digital image scrambling algorithm based on bit exchange and chaos optimization is proposed.The hash function is used to obtain the key stream of the digital image plaintext,the subkey related to the plaintext is used to derive the initial value of the pixel,and the bit exchange operator is generated through nonlinear cross to enhance the plaintext information sensitivity.The Logistic equation is used to obtain the chaotic sequence,the sampling weighting method is introduced to improve the image scrambling intensity,and the hybrid leapfrog-hopping method is used to implement information transmission according to the division of ethnic groups.The real numbers in the chaotic sequence are arranged from small to large.The chaotic sequence formed after the initial chaotic sampling is used in the image,which significantly improves the image scrambling intensity and completes the digital image scrambling.The simulation results show that this method has high security and excellent encryption performance,which can provide a reliable reference for the safe use of digital images in various fields.

关 键 词：位交换 混沌优化 数字图像 置乱算法 敏感性增强 混合蛙跳方法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]