A Robust Audio Watermarking Algorithm Based on SVD-DWT

Huan Zhao, Fei Wang, Zuo Chen, Jun Liu
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引用次数: 17

Abstract

In this paper, we proposed a novel blind audio watermarking algorithm, which combined Singular Value Decomposition(SVD) with Discrete Wavelet Transform(DWT). In our algorithm, We first partition the rearranged audio signal into blocks, then generate the vector by selecting the biggest singular values after performing SVD on these blocks. Finally we embed the watermark into the approximate components obtained from the DWT decomposition of the vector by means of quantization process. Experimental results showed that our algorithm has good robustness against the common audio signals processing operations. Compared with earlier schemes based on SVD, the proposed scheme has satisfying imperceptibility and improved payload. DOI: http://dx.doi.org/10.5755/j01.eee.20.1.3948
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基于SVD-DWT的鲁棒音频水印算法
本文提出了一种将奇异值分解(SVD)和离散小波变换(DWT)相结合的盲音频水印算法。在我们的算法中,我们首先将重新排列的音频信号划分成块,然后对这些块进行SVD,通过选择最大的奇异值来生成向量。最后通过量化处理将水印嵌入到由矢量的DWT分解得到的近似分量中。实验结果表明,该算法对常见的音频信号处理操作具有良好的鲁棒性。与以往基于奇异值分解的方案相比,该方案具有较好的隐蔽性和较好的有效载荷。DOI: http://dx.doi.org/10.5755/j01.eee.20.1.3948
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来源期刊
AIMS Electronics and Electrical Engineering
AIMS Electronics and Electrical Engineering Engineering-Control and Systems Engineering
CiteScore
2.40
自引率
0.00%
发文量
19
审稿时长
8 weeks
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