Watermark optimization technique based on genetic algorithms
Chun-Hsiang Huang, Ja‐Ling Wu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
In this paper, a genetic algorithm (GA) based watermark optimization technique for digital image watermarking is proposed. In our approach, watermark embedding positions are simulated by chromosomes, and several GA optimization operators such as reproduction, crossover, and mutation are used. The experimental result shows that the proposed approach can effectively improve the quality of the watermarked image and the robustness of the embedded watermark against various attacks. By analyzing the distribution of embedding positions, we found that watermark embedding positions are highly correlated to the energy distribution of block-DCT coefficients.