基于DNA序列和NSCT变换的数字图像隐藏

发布时间：2018-05-31 15:51

本文选题：图像隐藏 + NSCT变换　；参考：《河北大学》2013年硕士论文

【摘要】：随着互联网技术和通信技术的飞速发展，，越来越多的重要信息如：卫星云图、军事图像、医学图像以及个人秘密图像都需要通过网络进行传输。但互联网是一个开放的环境，重要信息在网上传输很容易被非法者窃取和破坏。这些秘密信息一旦泄露，将有可能给国家或者个人造成难以估量的损失。信息隐藏作为隐蔽通信和知识产权保护等的重要手段，已经成为信息安全研究焦点。图像包含大量信息、直观形象，是信息隐藏领域重要的研究方向。隐藏算法中加密预处理方法主要有基于传统方法、现代密码机制和混沌、超混沌理论等算法。隐藏所用方法多选择离散余弦变换、小波变换等变换方法。这些算法中常用的混沌、超混沌加密预处理，密钥简单，安全性不高；变换域隐藏图像虽然抗攻击能力较好，但隐藏容量较低。本文预处理算法采用DNA序列加密算法实现图像的加密预处理，克服了传统混沌加密方法动力特性相对简单、确定序列的参数少、密钥简单、安全性不高的缺陷；隐藏方法上将NSCT变换和小波包变换相结合，通过对NSCT变换后的低频系数系数矩阵进行小波包变换和奇异值分解，将包含重要信息的位平面隐藏在奇异值中，次要信息隐藏在NSCT变换剩余子带系数矩阵中，克服了小波变换隐藏容量小、抗攻击能力不高的缺点。实验效果表明，该算法对于不同类型的秘密图像和载体图像，隐藏容量大，抗攻击能力较好。
[Abstract]:With the rapid development of Internet technology and communication technology , more and more important information such as satellite cloud chart , military image , medical image and personal secret image need to be transmitted over the network . But Internet is an open environment . It is easy to steal and destroy the important information on the Internet . Once the secret information is leaked , it will be possible to make the country or individual difficult to estimate the loss . Information hiding as an important means of covert communication and intellectual property protection has become the focus of information security research .

The image contains a lot of information and visual image , it is an important research direction in the field of information hiding . The encryption preprocessing method in hiding algorithm is mainly based on traditional methods , modern cipher mechanism and chaos , hyperchaos theory and so on .
The transform domain hidden image has good anti - attack ability , but the hidden capacity is low .

The preprocessing algorithm adopts DNA sequence encryption algorithm to realize the encryption pretreatment of the image , overcomes the defect that the traditional chaotic encryption method is relatively simple , the parameters of the sequence are less , the key is simple and the security is not high ;
In this paper , the small wave packet transform and singular value decomposition are carried out on the low frequency coefficient matrix , which contains important information , which is hidden in the singular value by wavelet packet transform and singular value decomposition of the low frequency coefficient matrix . The experimental results show that the algorithm has great hiding capacity and better anti - attack capability for different types of secret images and carrier images .
【学位授予单位】：河北大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TN918.4

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