Comparison of watermarking algorithms via a GA-based benchmarking tool

In this paper we present the application of a recently developed benchmarking tool to the comparison of watermarking algorithms. We carry out an extensive analysis to assess and compare robustness of digital image watermarking techniques by considering the perceptual quality of un-marked images in terms of Weighted PSNR. Such a benchmarking tool employs genetic algorithms, introduces a novel metric for robustness assessment based on perceptual quality measures and allows analysis and comparison of different techniques performances. Experimental results show the effectiveness of the proposed approach.