Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/79927
Type: | Journal article |
Title: | Audio watermarking framework using multi-objective particle swarm optimization |
Author: | Peng, H. Zhang, Z. Wang, J. Shi, P. |
Citation: | International Journal of Innovative Computing Information and Control, 2013; 9(7):2789-2800 |
Publisher: | ICIC International |
Issue Date: | 2013 |
ISSN: | 1349-4198 1349-418X |
Statement of Responsibility: | Hong Peng, Zulin Zhang, Jun Wang and Peng Shi |
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. |
Keywords: | Optimal audio watermarking Audio watermarking framework Multi-objective optimization Particle swarm optimization |
Rights: | © 2013 |
Published version: | http://www.ijicic.org/ijicic-12-04154.pdf |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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