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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 Computer Sciences Department of the University of Salzburg headed by Andreas Uhl. The short name "WaveLab" already indicates that wavelets are among our favorite tools - we have 15 years of experience in this area. Our research is focused on Multimedia Security including Watermarking, Image and Video Compression, Medical Image Classification, and Biometrics.
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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