Watermarking and rank metric codes

Pascal Lefevre, Philippe Carre, Philippe Gaborit

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

2 Citations (Scopus)

Abstract

This paper presents a different way to improve the resistance of digital watermarking. Using the well known Lattice QIM in the spatial domain, we analyze the interest of using a different kind of error correcting codes: rank metric codes. These codes are already used in communications for network coding but not used in the context of watermarking. In this article, we show how this metric permits to correct errors with a specific structure and is adapted to specific image attacks. We propose a first study to validate the concept of rank metric for watermarking process. For this, we use these codes to obtain invariance against luminance additive constant change.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2087-2091
Number of pages5
ISBN (Print)9781538646588
DOIs
Publication statusPublished - 10 Sept 2018
Externally publishedYes
Event2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada
Duration: 15 Apr 201820 Apr 2018

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2018-April
ISSN (Print)1520-6149

Conference

Conference2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
Country/TerritoryCanada
CityCalgary
Period15/04/1820/04/18

Keywords

  • Gabidulin
  • Luminance
  • Rank metric codes
  • Structured errors
  • Watermarking

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