An SVD-based watermarking scheme using improved micro-genetic algorithm

Abstract

In this paper, we introduce an image watermarking scheme using singular value decomposition (SVD) and improved micro-genetic algorithm (micro-GA). In an SVD-based watermarking scheme, the singular values of a cover image are modified by multiple scaling factors to embed the watermark image. Determining proper values of scaling factors to reduce visual artifacts is viewed as an optimization problem and we use the improved micro-GA to search the feasible solution. Experimental results are provided to illustrate the proposed approach is robust to common signal processing attacks.