Comparison of watermarking algorithms via a GA-based benchmarking tool

Authors:
V. Conotter;G. Boato;C. Fontanari;F. G. B. De Natale
Affiliations:
Department of Information Engineering and Computer Science, University of Trento;Department of Information Engineering and Computer Science, University of Trento;Department of Mathematics, University of Trento;Department of Information Engineering and Computer Science, University of Trento
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 5
Cited 0

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Abstract

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.