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EUSIPCO09-efficient-wm Source Code

This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Artificial Intelligence and Human Interfaces (AIHI) Department of the University of Salzburg led by Andreas Uhl. Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood industry.
MATLAB code implementing and testing five different detectors for additive, spread-spectrum watermarking evaluated in the paper

Roland Kwitt, Peter Meerwald, Andreas Uhl, "Efficient Detection of Additive Watermarking in the DWT-Domain", Proceedings of the 17th European Signal Processing Conference, EUSIPCO '09, pp. 2072-2076, Glasgow, UK, August 2009.

Abstract: This paper aims at efficient, blind detection of additive spread-spectrum watermarks in the DWT domain. In our approach, the marginal distributions of the DWT detail subband coefficients are modeled either by the Generalized Gaussian distribution or by the recently proposed one-parameter Cauchy distribution. We investigate the computational demands for parameter estimation, hypothesis testing and threshold selection. Further, we discuss the tradeoff between computation time and detection accuracy.

See README for details.

The code is available upon request.

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