The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 28-913
Full Name: Prayoth Kumsawat
Position: Assistant Professor
Age: ON
Sex: Male
Address: 111 University Avenue, Muang District, Nakhon Ratchasima, 30000
Country: THAILAND
Tel: 44 224 394
Tel prefix: 66
Fax: 44 224 406
E-mail address: prayoth@sut.ac.th
Other E-mails: ajarnpk2004@yahoo.com
Title of the Paper: an optimal robust digital image watermarking based on genetic algorithms in multiwavelet domain
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 digital image watermarking algorithm in the multiwavelet transform domain. The embedding technique is based on the quantization index modulation technique and this technique does not require the original image in the watermark extraction. We have developed an optimization technique using the genetic algorithms to search for optimal quantization steps to improve the quality of watermarked image and robustness of the watermark. In addition, we analyze the performance of the proposed algorithm in terms of peak signal to noise ratio and normalized correlation. The experimental results show that our proposed method can improve the quality of the watermarked image and give more robustness of the watermark as compared to previous works.
Keywords: Image watermarking; Multiwavelet; Multiwavelet tree; GA; Quantization index modulation
EXTENSION of the file: .pdf
Special (Invited) Session: Robust Image Watermarking Based on Genetic Algorithm In Multiwavelet Domain
Organizer of the Session: 609-686
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