收稿日期: 2014-11-26
网络出版日期: 2016-08-30
基金资助
国家自然科学基金资助项目(61472235)
Robust audio watermarking based on eigen-value decomposition
Received date: 2014-11-26
Online published: 2016-08-30
常见的数字信号处理往往会改变音频信号的高频分量并引入随机噪声,并且易造成数字水印信息的位置改变. 提出了一种新的数字音频水印算法. 在该算法中, 原始音频被分为两部分: ① 运用量化索引调制来嵌入伪随机序列生成的二值同步码; ② 利用特征值分解(eigenvalue decomposition, EVD)方法先对离散小波变换(discrete wavelet transform, DWT)低频系数进行变换, 然后在生成的对角阵中用量化索引调制嵌入水印信息. 实验结果表明, 在确保不可感知性和较强鲁棒性的前提下, 可大幅度提高水印嵌入容量, 达到172 bit/s.
童人婷1, 程航1,2, 张新鹏1 . 基于EVD变换的鲁棒音频水印算法[J]. 上海大学学报(自然科学版), 2016 , 22(4) : 388 -397 . DOI: 10.3969/j.issn.1007-2861.2014.05.017
Common digital signal processing often introduces noise into audio signals and cause high-frequency distort. Meanwhile, both signal processing operations and malicious attacks may change location of watermark information. By making use of robustness of eigen-value decomposition (EVD), a blind audio watermarking algorithm is proposed. The original audio signal is divided into two parts. Binary codes for synchronization are embedded into the first part using quantization index modulation (QIM). The approximation components of discrete wavelet transform (DWT) of the second part is transformed using EVD to generate a diagonal matrix, and the watermark information is embedded into the matrix entries with QIM. Experimental results show that embedding capacity of the proposed method is as high as 172 bit/s, and it still maintains good audio quality and can tolerate a wide range of common attacks.
Key words： audio watermarking; eigen-value decomposition (EVD); high capacity; robust
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