摘要
图像加密作为信息加密领域的重要一支,其对于信息安全的重要性显得愈发重要,能够有效地对目标图像信息进行加解密逐步成为了人们的研究热点;为了提高图像加密的安全性,以混沌系统所具有的初值敏感性以及类似随机为基础,提出了采用"混沌变换"方法对图像进行置乱操作的算法,随后以此为基础结合小波理论设计一种图像加密算法;在图像的预处理阶段首先对图像采用小波变换得到四幅小波子图;随后基于混沌置换将四幅子图置乱处理;最后通过小波逆变换恢复出目标加密图像;通过数值仿真实验表明通过该方法解密获得的图像具有与原图像非常高的一致性,并且获得了较高的安全性。
Image encryption as an important branch of the field of information encryption,the importance of information security becomes more and more important,to encrypt gradually becomes a research hotspot of image information effectively.In order to improve the security of image encryption is proposed,which uses the initial value sensitivity of chaotic system and the characteristics of random like,put forward a new kind of" chaos transform for image scrambling algorithm,then on the basis of combining wavelet theory to design a digital image encryption algorithm.In the preprocessing phase of the image,four wavelet sub images are firstly obtained by using wavelet transform,then four subgraphs are scrambled based on chaotic permutation.Finally,the target encrypted image is restored by inverse wavelet transform.The numerical simulation results show that the image obtained by this method has very high consistency with the original image,and achieves higher security.
出处
《计算机测量与控制》
2018年第1期264-267,共4页
Computer Measurement &Control
关键词
混沌理论
小波变换
图像加密
小波逆变换
chaos theory
wavelet transform
image encryption
inverse wavelet transform
作者简介
韩笑（1981-）,男,浙江杭州人,本科,检察技术科科长,主要从事心理测谎方向的研究.
