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Proceedings Paper

Audio watermarking robust to geometrical distortions based on dyadic wavelet transform
Author(s): Yong Wang; Shaoquan Wu; Jiwu Huang
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Paper Abstract

Geometrical transforms such as time-scale modification (TSM), random removal(RR), random duplication(RD), and cropping, are of common operations on audio signals while presents many challenges to robust audio watermarking. The existing algorithms aiming at solving the geometrical distortions have various drawbacks e.g. high false alarm probability, heavy computation load, small data hiding capacity, and low robustness performance. In this paper an audio watermarking algorithm based on dyadic wavelet transform robust to geometrical distortions is proposed. Watermark synchronization is achieved using the geometrical invariant properties of dyadic wavelet transform. A well-designed coding scheme is proposed for lowering the bit error rate of the watermark. The experimental results show that the watermark is robust to geometrical transforms and other common operations. Compared with other existing algorithms the proposed algorithm has several advantages of high robustness, large data hiding capacity and low computation load.

Paper Details

Date Published: 1 March 2007
PDF: 12 pages
Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 65050A (1 March 2007); doi: 10.1117/12.698495
Show Author Affiliations
Yong Wang, Sun Yat-Sen Univ. (China)
Shaoquan Wu, Sun Yat-Sen Univ. (China)
Jiwu Huang, Guangdong Province Key Lab. of Information Security (China)

Published in SPIE Proceedings Vol. 6505:
Security, Steganography, and Watermarking of Multimedia Contents IX
Edward J. Delp III; Ping Wah Wong, Editor(s)

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