A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition

作     者：Lei, Baiying Soon, Ing Yann Zhou, Feng Li, Zhen Lei, Haijun 

作者机构：Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Georgia Inst Technol George W Woodruff Sch Mech Engn Atlanta GA 30332 USA Shenzhen Univ Coll Comp Sci & Technol Shenzhen Peoples R China 

出 版 物：《SIGNAL PROCESSING》 (信号处理)

年 卷 期：2012年第92卷第9期

页      面：1985-2001页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

主　　题：Audio watermarking Lifting wavelet transform Robust watermarking Singular value decomposition Quantization index modulation 

摘      要：In this paper, a new and robust audio watermarking scheme based on lifting wavelet transform (LWT) and singular value decomposition (SVD) is proposed. Specifically, the watermark data is efficiently inserted in the coefficients of the LWT low frequency subband taking advantage of both SVD and quantization index modulation (QIM). The use of QIM renders our scheme blind in nature. Furthermore, the synchronization code technique is also integrated into our hybrid LWT-SVD audio watermarking method. Experimental and analysis results demonstrate that the proposed LWT-SVD method is not only robust against both general signal processing attacks and desynchronization attacks but also achieve a very good tradeoff between robustness, imperceptibility and payload. Comparisons with the typical and related audio watermarking algorithms also show that our proposed method outperforms most of the selected algorithms. (C) 2012 Published by Elsevier B.V.