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2009 WRI World Congress on Computer Science and Information Engineering
Optimal DWT-SVD Domain Image Watermarking Using Multi-objective Evolutionary Algorithms
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
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.
Index Terms:
Discrete Wavelet Transform, Singular Value Decomposition, Multi-Objective Evolutionary Algorithm, Image Watermarking
Citation:
M. Monemizadeh, S.A. Seyedin, "Optimal DWT-SVD Domain Image Watermarking Using Multi-objective Evolutionary Algorithms," csie, vol. 3, pp.259-263, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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