Intelligent Information Hiding and Multimedia Signal Processing, International Conference on (2007)
Nov. 26, 2007 to Nov. 28, 2007
A key point of image watermarking schemes is to se- lect the image pixels or transformed coefficients where an embedded watermark would reach the optimal invisibility versus robustness trade-off. Human Visual System (HVS) based JND masks are thus useful to optimally adapt the wa- termark strength right below the visibility threshold. Most of the perceptual masks created so far for watermarking purpose are based on the empirical assumption that edges and/or textures allow the best watermark visual masking and thus ensures good invisibility properties. Nevertheless, although invisibility control in smooth areas is challenging, it could be interesting to extend the watermark in such ar- eas since the robustness performances might increase. The goal of this paper is to use an advanced HVS model to man- age invisibility in order to evaluate the robustness of water- marks embedded in smooth areas only, edges/textured ar- eas only or in both areas. This study is further to the one presented in . The robustness was tested against 89 at- tacked images (using Stirmark), results showed that includ- ing smooth areas in the JND mask increases the robustness while preserving good invisibility properties.
F. Autrusseau, P. L. Callet and A. Ninassi, "A Study of Content based Watermarking using an Advanced HVS Model," Intelligent Information Hiding and Multimedia Signal Processing, International Conference on(IIH-MSP), Kaohsiung, Taiwan, 2007, pp. 485-488.