Self-synchronizing robust texel watermarking in gaussian scale-space

  • Authors:
  • Mathias Schlauweg;Dima Pröfrock;Benedikt Zeibich;Erika Müller

  • Affiliations:
  • University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany

  • Venue:
  • Proceedings of the 10th ACM workshop on Multimedia and security
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we propose a new second generation watermarking method for still images that embeds information in the feature space using rational dither modulation. Embedding at a fixed raster, e.g., the pixel grid, is a big problem in all first generation watermarking approaches. In contrast, our approach does not work depending on any raster. We use a texture-based feature, the so-called gray-level blob in Gaussian scale-space, which is invariant to scaling, rotation, and translation. It is associated with the image content and thus independend of image geometry. Furthermore, we show that our new method is robust against a variety of attacks, such as lossy compression, contrast and luminance enhancement, bluring and sharpening as well as noise adding. In addition, due to embedding at no fixed raster and insertion/deletion error correction even after slight image cropping the watermark can be extracted.