The Community for Technology Leaders
Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 259-263
In this paper, we present an optimal Discrete Wavelet Transform-Singular Value Decomposition (DWT-SVD)based image watermarking scheme using Pareto-based Multi-Objective Evolutionary Algorithm (MOEA). After decomposing the cover image into four bands, we apply the SVD to each band, and the singular values of each sub-band of the host image are modified by different scaling factors to embed the watermark image.Modifications are optimized using a fast Elitist Nondominated Sorting Genetic Algorithm (NSGA-II) to obtain the highest possible robustness without losing the transparency. Since the same watermark with proper scaling factors is embedded in 4 blocks, it is extremely difficult to remove or destroy the watermark from all frequencies. Experimental results show improvement both in transparency and robustness under a wide range of attacks.
Discrete Wavelet Transform, Singular Value Decomposition, Multi-Objective Evolutionary Algorithm, Image Watermarking

S. Seyedin and M. Monemizadeh, "Optimal DWT-SVD Domain Image Watermarking Using Multi-objective Evolutionary Algorithms," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 259-263.
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