摘要
本文借助图像奇异值分解的思想,,将所选水印图像进行奇异值分解(SVD),得到的奇异值作为水印信息嵌入原始音频.为了消除冗余信息,先将原始音频信号进行一维提升小波变换(lwt),变换后得到低频子带和高频子带;对其低频子带进行分段,计算出每段的平均能量并按大小排序,选择平均能量较大的前几段嵌入水印.仿真结果表明,这样嵌入的水印信息稳定性好,且复杂度低,而且该算法对MP3压缩、AD/DA转换,回声等常见攻击具有良好的鲁棒性,有一定的实际使用价值.
This paper makes use of image SVD idea,The watermarking image is decomposed by singular value,then the singular characteristic value is regards as watermarking.In order to avoid redundancy information,Firstly,the original audio signal is decomposed into low frequency and high frequency component after lifting wavelet transform,then the low-frequency component is segmented,the average energy of every subsection is and calculated and queued according to size,watermarks are embedded into the subsection which average energy are much more.The experimental results show that the proposed method not only is preponderant stability and computing complexity,but also is robust against various signal processing,such as MP3compression,AD/DA conversion,echo adding,The method has certain actual application value.
出处
《漳州师范学院学报（自然科学版）》
2013年第2期23-26,共4页
Journal of ZhangZhou Teachers College（Natural Science)
关键词
提升小波变换
SVD
音频
水印
平均能量
lifting wavelet transformation（LWT）
singular value decomposition（SVD）
audio
watermarking
average energy
