Performance loss of dirty-paper codes in additive white Gaussian noise and jitter channels

V. Licks, F. Ourique, R. Jordan, G. Heileman

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

1 Scopus citations

Abstract

Dirty-paper codes have been used extensively as the basis for new code design for digital image watermarking due to their interference rejection property. Random bending attacks still pose a great danger to watermark survival and the theoretical basis for the assessment of their impact on decoder performance is yet to be laid. Meanwhile, past research results point out to the use of a new channel model named additive white Gaussian noise and jitter (AWGN&J) channel as a means to assess the impact of imperfect synchronization in the performance of the watermark decoder. In this paper, we show that the capacity of the ideal Costa scheme is greatly reduced in the presence of imperfect synchronization and that its host signal interference rejection property does not hold anymore in the presence of such attack. Moreover, we show that arbitrarily increasing watermark power does not help to mitigate the effect of imperfect synchronization.

Original languageEnglish (US)
Title of host publicationProceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003
PublisherIEEE Computer Society
Pages230-233
Number of pages4
ISBN (Electronic)0780379977
DOIs
StatePublished - 2003
Externally publishedYes
EventIEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States
Duration: Sep 28 2003Oct 1 2003

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings
Volume2003-January

Conference

ConferenceIEEE Workshop on Statistical Signal Processing, SSP 2003
Country/TerritoryUnited States
CitySt. Louis
Period9/28/0310/1/03

Keywords

  • AWGN channels
  • Additive white noise
  • Decoding
  • Gaussian noise
  • Image sampling
  • Interference
  • Jitter
  • Performance loss
  • Spread spectrum communication
  • Watermarking

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Signal Processing
  • Computer Science Applications

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