摘要
为了实现数字音频的版权保护,根据音频信号的短时平稳特性和离散小波变换的多分辨率分析特性,设计了一种基于范重心和提升小波变换的数字音频零水印算法.算法首先将音频信号进行分帧,其次对分帧音频进行三级小波提升,提取低频近似分量的范重心,并根据分量范重心与均值向量之间的关系生成特征向量,最后将特征向量与水印运算得到代表原始音频的版权信息.实验结果表明,该算法对音频信号遭受的常见攻击具有较强的鲁棒性,同时密钥的使用保证了算法的安全性.
Abstract： According to the transient steady property of audio signal and multi-resolution analysis property of discrete wavelet transform, an audio zero watermarking scheme based on NCG （Normed Centre of Gravity） and lifting-based wavelet is proposed in this paper to achieve the copyright protection of digital audio. Firstly, the audio signal is framed by equalized length. Secondly, wavelet transformation based on three-level lifting for the framed audio is conducted, and then NCGS are detected from the low frequency components, then the feature vector is generated by taking relationship between NCGS and mean value vector. Finally, the copyright information is obtained by calculating the watermark and feature vector. Experimental results show that the scheme is robust against common signal processing attacks, meanwhile security of the algorithm is guaranteed by using secret keys.
出处
《华中师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2011年第1期48-53,共6页
Journal of Central China Normal University：Natural Sciences
基金
广东省自然科学基金项目(81 52500002000003)
茂名市重点科技计划项目(203624)
关键词
音频水印
零水印
鲁棒水印
提升小波
范重心
audio watermarking
zero-watermarking
robust watermarking
ii{ting-based wavelet
normed centre of gravity
