Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (15): 96-98.DOI: 10.3778/j.issn.1002-8331.2010.15.028

• 网络、通信、安全 • Previous Articles     Next Articles

Wavelet-based adaptive audio watermarking resisting amplitude variation

ZHENG Li-xia1,XIAO Jun1,2,WANG Ying1,2,YAO Zhi-qiang2   

  1. 1.Graduated University of Chinese Academy of Sciences,Beijing 100049,China
    2.Key Lab of Network Security and Cryptology,Fujian Normal University,Fuzhou 350007,China
  • Received:2008-11-17 Revised:2009-03-24 Online:2010-05-21 Published:2010-05-21
  • Contact: ZHENG Li-xia

抗幅度缩放的小波域自适应数字音频水印算法

郑利霞1,2,肖 俊1,王 颖1,2,姚志强2   

  1. 1.中国科学院 研究生院,北京 100049
    2.福建师范大学 网络安全与密码技术重点实验室,福州 350007
  • 通讯作者: 郑利霞

Abstract: The robustness of audio watermarking is one of the research hotspots in watermarking.To improve the robustness against amplitude variation,a wavelet-based adaptive audio watermarking algorithm which can resist amplitude variation is proposed referring to the theory of digital image normalization.In the proposed algorithm,the audio file is decomposed adaptively and smoothed in space domain,and the watermark information is embedded into the low frequency coefficients of three levels wavelet transform with dither quantization.Experimental results show that the proposed algorithm is robust to amplitude variation,and it can resist common watermarking attacks such as additive noise,low pass filter,rep-sampling,and re-quantification.

Key words: audio watermarking, amplitude variation, wavelet transform, dither quantification

摘要: 数字音频水印的鲁棒性是数字水印领域的研究热点之一。为进一步提高音频水印算法针对幅度缩放等攻击的鲁棒性,借用数字图像归一化的思想,提出了一种基于归一化的抗幅度缩放攻击的数字音频水印算法。该算法首先对音频数据进行自适应分段,然后在空域部分均值化音频数据,最后在三级小波变换的低频系数上以抖动调制的方式实现水印信息的嵌入。实验结果表明所提出的算法对缩放攻击具有很好的鲁棒性,并能够抵抗加噪、低通滤波、重采样、重量化等常见攻击。

关键词: 音频水印, 幅度缩放, 小波变换, 抖动量化

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