• DocumentCode
    2027668
  • Title

    A novel blind watermarking method based on distance vector of significant wavelet coefficients

  • Author

    Hajizadeh, Mehdi ; Helfroush, Mohammad Sadegh ; Dehghani, Mohammad Javad

  • Author_Institution
    Dept. of Electr. Eng., Shiraz Univ. of Technol., Shiraz, Iran
  • fYear
    2010
  • fDate
    27-28 Oct. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes an efficient blind watermarking algorithm using distance vector for copyright protection. In this algorithm, the wavelet coefficients from various frequency locations have been grouped into a sequence and named as Group for invisible watermark embedding and extraction. In the next step, after choosing the maximum and second maximum amplitude coefficients of each Group, the distance vector between two coefficients is computed. For embedding bit zero and bit 1, values of the distance vector elements are decreased or increased, respectively. The proposed method, takes advantage of considerable robustness against prevalent attacks. Comparison analysis demonstrates that our method has better performance than the other watermarking schemes reported recently and also watermarked images do not suffer from obvious visual distortion.
  • Keywords
    copyright; image watermarking; wavelet transforms; blind watermarking; comparison analysis; copyright protection; distance vector; frequency location; maximum amplitude coefficient; watermark embedding; watermark extraction; watermarked image; wavelet coefficient; Image coding; PSNR; Robustness; Transform coding; Watermarking; Wavelet coefficients; Blind watermarking; Copyright protection; Distance vector; Significant coefficients; Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Image Processing (MVIP), 2010 6th Iranian
  • Conference_Location
    Isfahan
  • Print_ISBN
    978-1-4244-9706-5
  • Type

    conf

  • DOI
    10.1109/IranianMVIP.2010.5941147
  • Filename
    5941147