Adaptive digital watermarking using fuzzy clustering technique

D. C. Lou*, T. L. Yin

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

25 Scopus citations

Abstract

In this paper, a novel adaptive digital watermarking approach based upon human visual system model and fuzzy clustering technique is proposed. The human visual system model is utilized to guarantee that the watermarked image is imperceptible. The fuzzy clustering approach has been employed to obtain the different strength of watermark by the local characters of image. In our experiments, this scheme allows us to provide a more robust and transparent watermark.

Original languageEnglish
Pages (from-to)2052-2060
Number of pages9
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE84-A
Issue number8
StatePublished - 08 2001
Externally publishedYes

Keywords

  • DCT
  • Fuzzy c-means algorithm
  • Human
  • Spread-spectrum communications
  • Visual system
  • Watermarking

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