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TIP11-light-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, "Lightweight Detection of Additive Watermarking in the DWT-Domain", IEEE Transactions on Image Processing 20:2, pp. 474-484, Feb. 2011

Abstract: This article aims at lightweight, blind detection of additive spread--spectrum watermarks in the DWT domain. We focus on two host signal noise models and two types of hypothesis tests for watermark detection. As a crucial point of our work we take a closer look at the computational requirements of watermark detectors. This involves the computation of the detection response, parameter estimation and threshold selection. We show that by switching to approximate host signal parameter estimates or even fixed parameter settings we achieve a remarkable improvement in runtime performance without sacrificing detection performance. Our experimental results on a large number of images confirm the assumption that there is not necessarily a trade-off between computation time and detection performance.

See README for details.

The code is available upon request.

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