Multiwavelet-based image watermarking using genetic algorithm

• Published in: 2004 IEEE Region 10 Conference TENCON 2004 Vol. A; pp. 275 - 278 Vol. 1
• Main Authors: Kumsawat, P., Attakitmongcol, K., Srikaew, A.
• Format: Conference Proceeding
• Language: English
• Published: Piscataway NJ IEEE 2004
• Subjects: Applied sciences; Cryptography; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Genetic algorithms; Image processing; Information, signal and communications theory; Signal and communications theory; Signal processing; Signal, noise; Telecommunications and information theory; Watermarking; Image processing; Discrete transformation; Discrete wavelet transforms; Optimization; Search algorithm; Image quality; Wavelet transformation; Genetic algorithm; Multiscale method; Information protection; Signal processing; Robustness; Digital watermarking
• ISBN: 0780385608; 9780780385603
• DOI: 10.1109/TENCON.2004.1414410

In this paper, we propose an image watermarking algorithm using the discrete multiwavelet transform. The watermark insertion and watermark detection are based on the techniques for the DWT-based image watermarking proposed by Dugad et al. In our method, the watermark is embedded to the multiwavelet transform coefficients larger than some threshold values. We have developed an optimization technique using the genetic algorithm to search for optimal threshold values and the strength of the watermark to improve the quality of watermarked image and robustness of the watermark. The experimental results show that the proposed algorithm yields watermark which is invisible to human eyes and robust to various image manipulations. We then compare our experimental results with the results of previous work using various test images.