Efficient Detection of Additive Watermarking in the DWT-Domain
Roland Kwitt, Peter Meerwald and Andreas Uhl
17th European Signal Processing Conference, EUSIPCO '09
Glasgow, UK; August 24 - 28, 2009
as BibTeX-file
conference program
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.
Links
Peter Meerwald, pmeerw@cosy.sbg.ac.at