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Proceedings of the 2nd International Symposium on Information Processing (ISIP 2009)

Huangshan, China, August 21-23, 2009

Editors: Fei Yu, Jian Shu, and Guangxue Yue

AP Catalog Number: AP-PROC-CS-09CN002

ISBN: 978-952-5726-02-2 (Print), 978-952-5726-03-9 (CD-ROM)

Page(s): 298-301

A DWT Domain Image Watermarking Scheme Using Genetic Algorithm and Synergetic Neural Network

Chen Yongqiang, Zhang Yanqing, and Peng Lihua

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A DWT domain image watermarking scheme is proposed in this paper to meet the watermarking properties: security, imperceptibility and robustness. In the scheme, watermark comes from a meaningful binary image encrypted by two-dimensional chaotic stream encryption that has more security. In the procedure of watermark embedding, the watermark is embedded into host image through selecting and modifying the wavelet coefficients using Genetic algorithm with a simple fitness function to improve the imperceptibility of watermarked image. In order to identify the owner of extracted watermark, Synergetic Neural Network is used in the watermarking identification to overcome the limitation of correlation analysis or the human sense organ after some attacks. The results of our scheme realization and robust experiments show that this scheme has preferable performance.

Index Terms

digital watermark, genetic algorithm, synergetic neural network, discrete wavelet transform

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