基于比特缩减的音频隐写算法

Ali Erdem Altinbaş, Y. Yalman
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引用次数: 2

摘要

如今,开发用于信息安全或机密通信的数据隐藏技术是一个非常有需求和兴趣的主题。大多数研究的主要目的是开发难以察觉的隐藏技术,在尽可能少的失真的情况下隐藏更多的信息。同样,本研究的主要目的是将图像隐藏在音频文件中,减少失真。为此,使用了一种基于约简的方法。原始音频文件与经过比特压缩的音频文件之间的差异大多可以归类为不显著。通过在减少的音频文件中添加对这种差异所做的小更改,并在保留原始位深度的同时保存它,可以获得包含隐藏图像(隐写音频)的音频文件。在数据提取阶段,首先对隐写音频进行比特降码。隐写音频和简化后的隐写音频的区别包括隐藏图像。作为这项研究的结果,相对较高的比特可以隐藏在一个非常低失真的音频文件中。应用结果表明,该算法在信噪比和PSNR方面都是成功的。开发的应用程序和封面音频的MATLAB代码可在链接:https://bit.ly/31Nynfe中获得
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bit Reduction based Audio Steganography Algorithm
Today, the development of data hiding techniques for information security or confidential communication is a subject of great demand and interest. The main purpose of most studies is to develop imperceptible hiding techniques and to hide more information with as little distortion as possible. Similarly, the main purpose of the presented study is to hide an image inside an audio file with less distortion. For this purpose, a bit reduction-based approach is used. The difference between the original audio file and the bit-reduced audio file can be classified as insignificant mostly. By adding the small changes made on this difference to the reduced audio file and saving it while preserving the original bit depth, the audio file containing the hidden image (stego-audio) is obtained. At the stage of data extracting, bit reduction is performed on the stego-audio first. The difference between stego-audio and reduced stego-audio includes the hidden image. As a result of this study, relatively higher bits can be hidden inside an audio file with very low distortion. The application results show that the developed algorithm is successful in terms of SNR and PSNR. The MATLAB codes of the developed application and the cover audio are available in the link: https://bit.ly/31Nynfe
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