Minmax strategies for QIM watermarking subject to attacks with memory

Pierre Moulin, Anil Kumar Goteti

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

Abstract

This paper examines the role of attacker's memory in Quantization Index Modulation (QIM) watermarking systems. First we derive the attacker's noise distribution that maximizes probability of error of the detector. Next, we derive QIM code parameters that are minmax optimal. The minmax optimal embedding strategy involves randomized lattice rotations, and the corresponding worst noise distributions are isotropic.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing 2005, ICIP 2005
Pages985-988
Number of pages4
DOIs
StatePublished - 2005
EventIEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
Duration: Sep 11 2005Sep 14 2005

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume1
ISSN (Print)1522-4880

Other

OtherIEEE International Conference on Image Processing 2005, ICIP 2005
Country/TerritoryItaly
CityGenova
Period9/11/059/14/05

ASJC Scopus subject areas

  • General Engineering

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