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An efficient digital audio watermarking scheme based on genetic algorithm

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1 Author(s)
Prayoth Kumsawat ; School of Telecommunication Engineering, Institute of Engineering, Suranaree University of Technology, 111 University Avenue, Muang District, Nakhon Ratchasima, Thailand

This paper proposes an efficient digital audio watermarking scheme using artificial intelligent technique. The watermarks are embedded into the low frequency coefficients in discrete multiwavelet transform domain. The embedding technique is based on quantization process which does not require the original audio signal in the watermark extraction. We have developed an optimization technique using the genetic algorithm to search for optimal quantization step in order to improve both quality of watermarked audio signal and robustness of the watermark. Experiment results shows that the proposed watermarking scheme is robust against various signals processing such as re-sampling, re-quantization, low-pass filtering, noise adding, random cropping, MPEG 1 Layer III compression and digital-to-analog/analog-to-digital conversion.

Published in:

Communications and Information Technologies (ISCIT), 2010 International Symposium on

Date of Conference:

26-29 Oct. 2010