Abstract
In this paper, we propose a statistical audio watermarking scheme based on DWT (Discrete Wavelet Transform). The proposed method selectively classifies high frequency band coefficients into two subsets, referring to low frequency ones. The coefficients in the subsets are modified such that one subset has bigger (or smaller) variance than the other according to the watermark bit to be embedded. As the proposed method modifies the high frequency band coefficients that have higher energy in low frequency band, it can achieve good performances both in terms of the robustness and transparency of watermark. Besides, our watermark extraction process is not only quite simple but also blind method.
“This research was performed by the Yeungnam University research leave in 2005.”
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© 2006 Springer-Verlag Berlin Heidelberg
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Cho, JW., Chung, HY., Jung, HY. (2006). A Robust Blind Audio Watermarking Using Distribution of Sub-band Signals. In: Gunsel, B., Jain, A.K., Tekalp, A.M., Sankur, B. (eds) Multimedia Content Representation, Classification and Security. MRCS 2006. Lecture Notes in Computer Science, vol 4105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11848035_16
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DOI: https://doi.org/10.1007/11848035_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39392-4
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