A New Image Watermarking Scheme using Multi-Objective Bees Algorithm
Autor: | Kung-Yo Giang, Jing-Wein Wang, Jiann-Shu Lee |
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Rok vydání: | 2014 |
Předmět: |
Numerical Analysis
Optimization problem business.industry Applied Mathematics media_common.quotation_subject Data_MISCELLANEOUS Stability (learning theory) Fidelity Computer Science Applications Image (mathematics) Computational Theory and Mathematics Robustness (computer science) Genetic algorithm Computer vision Artificial intelligence business Digital watermarking Analysis media_common Mathematics Bees algorithm |
Zdroj: | Applied Mathematics & Information Sciences. 8:2945-2953 |
ISSN: | 2325-0399 1935-0090 |
DOI: | 10.12785/amis/080632 |
Popis: | 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 ge netic 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 fo r 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. |
Databáze: | OpenAIRE |
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