• DocumentCode
    2563448
  • Title

    An improved quantization based watermarking scheme using local entropy in wavelet domain

  • Author

    Boroumand, Mehdi ; Ebrahimi, Afshin

  • Author_Institution
    Fac. of Electr. Eng., Sahand Univ. of Technol., Tabriz, Iran
  • fYear
    2009
  • fDate
    18-19 Nov. 2009
  • Firstpage
    268
  • Lastpage
    272
  • Abstract
    This paper presents a method for robust watermarking of digital images in wavelet domain. A new HVS model which uses local entropy in addition to conventional masking characteristics of the human visual system such as frequency, luminance and contrast masking has been utilized to increase the robustness of the scheme. Experimental results demonstrate the superiority of the proposed method over the similar method in terms of robustness and transparency.
  • Keywords
    entropy; watermarking; digital images; human visual system; local entropy; quantization based watermarking; wavelet domain; Digital images; Entropy; Frequency; Humans; Quantization; Robustness; Signal processing algorithms; Visual system; Watermarking; Wavelet domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-5560-7
  • Type

    conf

  • DOI
    10.1109/ICSIPA.2009.5478604
  • Filename
    5478604