Applied Mathematics & Information Sciences

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The optimization of watermarked image fidelity and watermark robustness is an attractive research topic in image watermarking. In this paper, we propose a new image watermarking scheme based on multi-objective bees algorithm to promote watermarking robustness as well as fidelity. In contrast with the existing genetic algorithms (GAs) based approaches utilizing single objective optimization, we treat the image watermarking as a multi-objective optimization problem. Based on this new perspective, the inherent conflict existing in image fidelity and watermark robustness for image watermarking can be objectively handled. The experimental study shows that our method indeed outperform the conventional GA-based approaches in both robustness and fidelity. Furthermore, the proposed watermarking method can also provide solutions with higher stability.

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