Audio watermarking framework using multi-objective particle swarm optimization
Date
2013
Authors
Peng, H.
Zhang, Z.
Wang, J.
Shi, P.
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Journal article
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International Journal of Innovative Computing Information and Control, 2013; 9(7):2789-2800
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Hong Peng, Zulin Zhang, Jun Wang and Peng Shi
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Abstract
Aiming at the multi-objective essence of optimal audio watermarking problem, we propose a novel audio watermarking framework in this paper, which can optimally balance all conflicting objectives of the problem, fidelity and robustness against different attacks. In the proposed framework, a multi-objective particle swarm optimization technique based on fitness sharing is applied to search optimal watermarking parameters and Pareto-optimal solutions are used to express the optimal parameters found. In addition, the proposed framework has the following advantages: (i) it can avoid the difficulty of determining optimal weighted factors in the existing single-objective watermarking schemes; (ii) Pareto-optimal solutions can offer the flexibility to select optimal parameters for satisfying different application demands. © 2013 ICIC International.
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© 2013