• DocumentCode
    3278362
  • Title

    A blind PSO watermarking using wavelet trees quantization

  • Author

    Wang, Yuh-Rau ; Lin, Wei-Hung ; Yang, Ling

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., St. John´´s Univ., Taipei, Taiwan
  • Volume
    4
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    1612
  • Lastpage
    1616
  • Abstract
    A blind watermarking method with particle swam optimization (PSO) on discrete wavelet transform (DWT) is proposed. The watermark is embedded in a digital image by quantization of adjacent wavelet coefficients on wavelet trees and can be extracted blindly. We employ PSO to achieve the robustness and imperceptibility. The experimental results show that using PSO is an improvement over those without using PSO.
  • Keywords
    discrete wavelet transforms; image watermarking; particle swarm optimisation; trees (mathematics); DWT; adjacent wavelet coefficients quantization; blind PSO watermarking; digital image; discrete wavelet transform; wavelet trees quantization; Discrete wavelet transforms; PSNR; Quantization; Robustness; Vegetation; Watermarking; Wavelet coefficients; Blind watermarking; fitness function; particle swam optimization (PSO); significant coefficient; wavelet tree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4577-0305-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2011.6016987
  • Filename
    6016987