Abstract
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 inserted in the LWT coefficients of the low frequency subband taking advantage of SVD and quantization index modulation (QIM). The use of QIM renders our scheme blind in nature. Furthermore, the synchronization code technique is also integrated with hybrid LWT-SVD audio watermarking. Experimental results demonstrate that the proposed LWT-SVD method is not only robust to both general signal processing and desynchronization attacks but also outperform the selected previous studies.
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Lei, B., Soon, I.Y., Li, Z. (2012). A Robust Audio Watermarking Scheme Based on Lifting Wavelet Transform and Singular Value Decomposition. In: Shi, Y.Q., Kim, HJ., Perez-Gonzalez, F. (eds) Digital Forensics and Watermarking. IWDW 2011. Lecture Notes in Computer Science, vol 7128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32205-1_9
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DOI: https://doi.org/10.1007/978-3-642-32205-1_9
Publisher Name: Springer, Berlin, Heidelberg
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