Graphical models for des ynchronization-resilient watermark decoding

Shankar Sadasivam, Pierre Moulin, Ralf Koetter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The performance of current blind watermark decoders against desynchronization attacks is rather poor. Such attacks include filtering, amplitude modulation, gamma correction, time-varying delays, and spatial warping. We propose a new family of watermark decoders based on modern methods for iterative decoding using graphical models. This approach addresses the "curse of dimensionality" problem that seemingly results when the desynchronization parameter space has high dimensionality.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PublisherIEEE Computer Society
PagesV477-V480
ISBN (Print)1424414377, 9781424414376
DOIs
StatePublished - Jan 1 2007
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume5
ISSN (Print)1522-4880

Other

Other14th IEEE International Conference on Image Processing, ICIP 2007
Country/TerritoryUnited States
CitySan Antonio, TX
Period9/16/079/19/07

Keywords

  • Coding
  • Data hiding
  • Desynchronization
  • Graphical models
  • Watermarking

ASJC Scopus subject areas

  • Engineering(all)

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