Paper Details: Downloads: 347
Serial Number: P1151052914
Title: Optimal image watermarking algorithm based on singular value decomposition and lifting wavelet transform via multi-objective genetic algorithm optimization
Authors: Khaled Loukhaoukha and Jean-Yves Chouinard and Mohamed Haj Taieb
Abstract: In this paper, a new optimal watermarking scheme based on singular value decomposition (SVD) and lifting wavelet transform (LWT) using multi-objective genetic algorithm optimization (MOGAO) is presented. The singular values of the watermark is embedded in a detail subband of host image. To achieve the highest possible robustness without losing watermark transparency, multiple scaling factors (MSF) are used instead of single scaling factor (SSF). Determining the optimal values of the MSFs is a difficult problem. However, to find this values a multi-objective genetic algorithm optimization is used. Experimental results show a much improved performance in term of transparency and robustness of the proposed method compared to others methods
Keywords: Digital watermarking, multi-objective optimization, genetic algorithm, singular value decom-position, lifting wavelet transform
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 10
Issue: 6
Submission Date: 9/1/2010 12:00:00 AM
Review Date: 10/1/2010 12:00:00 AM
Publishing Date: 12/31/2010 12:00:00 AM
Article Downloads: 347
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