基于整数小波变换和阿诺德变换的图像隐写与密码分析

V. G. Rima, V. Lakshmi
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引用次数: 2

摘要

通信领域的飞速发展要求发送方和接收方之间进行安全的信息交换。信息隐藏技术广泛应用于军事、科研等通信领域。信息隐藏是在内容中嵌入用于通信的消息的一般过程或术语。否则,我们可以说它是指要么产生要隐藏的数据,使秘密信息的存在不被注意到。此过程可防止未经授权的访问。在隐写过程中有两个输入,一个是掩护对象,另一个是秘密对象,这两个输入都可以是图像、视频、音频等,根据这些掩护对象,可以分为图像隐写、视频隐写、音频隐写等。在本文中,掩护对象和秘密对象都是图像。本文采用整数小波变换对图像进行隐写。通常隐写过程是用离散小波变换(DWT)进行的,而使用这种变换存在浮点系数,导致浮点截断导致信息丢失,为了避免这个问题,我们选择了IWT。阿诺德变换是对秘密图像进行置乱处理以保证其安全性的一种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integer Wavelet Transform and Arnold Transform based image steganography with cryptanalysis
The rapid development on the field of communication require a secure exchange of information between the sender and the reciepient. Information hiding techniques are widely used in the field of communication such as military applications, scientific research etc. Information hiding is a general process or term which deals with embedding the message for communication in the content. Otherwise we can say that it refers to either producing the data to be hidden making the existence of secret information to be unnoticeable. This process leads to prevent unauthorized access. There are two inputs in the steganography process, one is the cover object and the other is secret object, both these inputs may be image, video, audio e.t.c. Depending upon these cover objects, it can be categorized into image steganography, video steganography, audio steganography e.t.c. In this paper both cover and secret objects are image. In this paper image steganography is performed with IWT (Integer Wavelet Transform). Normally the steganography process is performed with DWT (Discrete Wavelet Transform), while applying this transform there exists floating point coefficients,which leads to floating point truncation results in loss of information, to avoid this problem we choose IWT. Arnold transform is an image scrambling technique applied to the secret image to ensure security to it.
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