Enhanced SVD based watermarking with genetic algorithm

Heechul Jung, Moongu Jeon

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

3 Scopus citations

Abstract

In this paper, we propose an enhanced robust watermarking algorithm based on singular vector decomposition(SVD). Previous SVD based watermarking algorithms have a problem of false-positive detection. For solving this problem, our algorithm performs an extra verification job for watermark using reference images. To find optimal scaling factors in the algorithm which satisfy both robustness and high quality of the watermarked image, we employed the genetic algorithm(GA).

Original languageEnglish
Title of host publicationCommunication and Networking
Subtitle of host publicationInternational Conference, FGCN/ACN 2009, Held as Part of the Future Generation Information Technology Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Pro
EditorsDominik Slezak, Tai-hoon Kim, Alan Chin-Chen Chang, Thanos Vasilakos, MingChu Li, Kouichi Sakurai
Pages586-593
Number of pages8
DOIs
StatePublished - 2009

Publication series

NameCommunications in Computer and Information Science
Volume56
ISSN (Print)1865-0929

Keywords

  • Genetic Algorithm
  • SVD
  • Watermarking
  • Wavelet

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