The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 89-618
Full Name: Prayoth Kumsawat
Position: Assistant Professor
Age: ON
Sex: Male
Address: School of Telecommunication Engineering, Institute of Engineering, Suranaree University of Technology, 111 University Avenue, Muang District, Nakhon Ratchasima, 30000
Country: THAILAND
Tel: +66 44 224394, +66 44 224392
Tel prefix: 66
Fax: +66 44 224406
E-mail address: prayoth@sut.ac.th
Other E-mails:
Title of the Paper: robust audio watermarking using multiwavelet transform and genetic algorithm
Authors as they appear in the Paper: Prayoth Kumsawat Kitti Attakitmongcol Arthit Srikaew
Email addresses of all the authors: prayoth@sut.ac.th, kitti@sut.ac.th, ra@sut.ac.th
Number of paper pages: 10
Abstract: In this paper, we propose a new approach for optimization in digital audio watermarking 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 and robustness of the watermark. In addition, we analyze the performance of the proposed algorithm in terms of signal-to-noise ratio, normalized correlation and bit error rate. The experimental results show that our proposed method can improve the quality of the watermarked audio signal and give more robustness of the watermark as compared to previous works.
Keywords: Audio watermarking Multiwavelet Genetic algorithm Artificial intelligence Optimization
EXTENSION of the file: .pdf
Special (Invited) Session: genetic algorithm optimization of multiwavelet-based audio watermarking
Organizer of the Session: 642-247
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