Abstract
In this paper, a new blind Singular Value Decomposition (SVD) and quantization based audio watermarking scheme is proposed. The watermark information is meaningful binary image permuted by the Piecewise Affine Markov Map (PWAM) before inserted into the host audio signal. The block-based method is applied by the modification of the largest singular values after the SVD transform. The watermark can be extracted without the original signal. Besides, the audio watermarking scheme is adaptive as the quantization step and block length can be changed adaptively without downgrading the signal. The experimental results demonstrate that the proposed scheme is very robust to filtering, extra noise, resampling, requantization, filtering, and MP3 compression attacks.
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© 2010 Springer-Verlag Berlin Heidelberg
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Lei, B.Y., Lo, K.T., Lei, H. (2010). Hybrid SVD-Based Audio Watermarking Scheme . In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15702-8_58
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DOI: https://doi.org/10.1007/978-3-642-15702-8_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15701-1
Online ISBN: 978-3-642-15702-8
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