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MMSEC10-pbd-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.
Python and C/C++ source code for testing the LRT-PBD watermark detector proposed in

Peter Meerwald, Andreas Uhl, "Watermark Detection on Quantized Transform Coefficients using Product Bernoulli Distributions", Proceedings of the ACM Multimedia and Security Workshop, MM&Sec '10, pp. 175 - 180, Rome, Italy, September 9 - 10, 2010.

Abstract: Detection performance of additive spread-spectrum watermarks depends on the statistical host signal model employed to derive the detection statistic. When transform coefficients are heavily quantized, the assumption of a Cauchy or Generalized Gaussian Distribution (GGD) is hard to justify and the estimation of model parameters becomes inaccurate. In this paper we derive a Likelihood-Ratio Test (LRT) based on the product of Bernoulli distributions. The watermark detector is designed to operate on quantized (integer) transform coefficients and therefore permits straightforward integration of the watermarking scheme in popular image and video codecs. Detection performance surpasses the linear correlation detector and is competitive with the computationally more demanding LRT based on a GGD.

See README for details.

The code is available upon request.

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