• DocumentCode
    501708
  • Title

    Fuzzy-Based Bacterial Foraging for Watermarking Applications

  • Author

    Huang, Hsiang-Cheh ; Chen, Yueh-Hong ; Lin, Guan-Yu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
  • Volume
    1
  • fYear
    2009
  • fDate
    12-14 Aug. 2009
  • Firstpage
    214
  • Lastpage
    217
  • Abstract
    Digital watermarking has been a popular topic in both researches and applications in the last decade. Based on previous experiences in literature, designing one good watermarking algorithm is desired, and how to assess how good the algorithm is should be based on the preset requirements. Here we use one optimization technique named bacterial foraging and we employ the concept in fuzzy theory to design an effective fitness function with the predetermined requirements. Unlike conventional scheme to fix the components in fitness function, by using the fuzzy concept, better results can be obtained. Simulation results demonstrate the advantages of the proposed algorithm over existing ones in literature.
  • Keywords
    fuzzy set theory; image coding; optimisation; watermarking; digital watermarking application; fitness function; fuzzy-based bacterial foraging; image coding; optimization technique; Algorithm design and analysis; Application software; Copyright protection; Data mining; Design optimization; Hybrid intelligent systems; Microorganisms; Robustness; Signal processing algorithms; Watermarking; bacterial foraging; fitness function; fuzzy set; watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-0-7695-3745-0
  • Type

    conf

  • DOI
    10.1109/HIS.2009.49
  • Filename
    5254292