基于DCT的盲音频水印方案

C. Maha, Elarbi Maher, Koubaa Mohamed, B. A. Chokri
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引用次数: 32

摘要

近年来,由于互联网和音频处理技术的发展,各种数字音频媒体应运而生。这对我们的日常生活是有益的,但也带来了所有权保护的问题。作为一种解决方案,音频水印技术得到了迅速发展。它包括将信息嵌入到数字音频数据中。提出了一种基于离散余弦变换(DCT)的频域音频水印方案。我们利用了在频域隐藏标记的优势来保证鲁棒性。为了提高方案的鲁棒性,采用汉明纠错码对水印进行了改进。我们主要根据MP3压缩对带水印音频信号的影响研究了隐藏水印位的频带。为了保证水印的嵌入和提取,我们采用了神经网络结构。实验结果表明,该算法对多种压缩率的MP3压缩和各种Stirmark攻击具有较强的鲁棒性。此外,水印可以在不需要原始音频的情况下盲提取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DCT Based blind audio watermarking scheme
During these recent years, different digital audio media are available due to internet and audio processing techniques. This is beneficial to our daily life but it brings the problem of ownership protection. As a solution, audio watermarking technique has been quickly developed. It consists of embedding information into digital audio data. This paper proposes an audio watermarking scheme operating in frequency domain using Discrete Cosine transforms (DCT). We take the advantage of hiding the mark in the frequency domain to guarantee robustness. To increase robustness of our schemes, the watermark is refined by the Hamming error correcting code. We study the band used to hide the watermark bits according essentially to the effects of the MP3 compression on the watermarked audio signal. To assure watermark embedding and extraction, we use neural network architecture. Experimental results show that the watermark is imperceptible and the algorithm is robust to many attacks like MP3 compression with several compression rates and various Stirmark attacks. Furthermore, the watermark can be blind extracted without needing the original audio.
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