• DocumentCode
    3352228
  • Title

    Watermark survival chance (WSC) concept for improving watermark robustness against JPEG compression

  • Author

    Nezhadarya, Ehsan ; Wang, Z. Jane ; Ward, Rabab K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    3697
  • Lastpage
    3700
  • Abstract
    This paper presents the new concept of watermark survival chance (WSC) for improving watermark robustness. WSC provides a robustness measure for an image feature (e.g. a discrete wavelet transform (DWT) coefficient) when used for watermark embedding, and thus can provide the watermark designer with prior knowledge on robust image features. As an illustrative example, we study additive spread spectrum watermarking in the DWT domain and consider JPEG compression as the attack. WSC is obtained for each DWT coefficient/subband for different compression ratios. Based on the WSC table for JPEG compression distortion, we suggest that: Wavelet coefficients can be divided into two main categories: block boundary coefficients and block non-boundary coefficients; block boundary coefficients generally are more robust for watermark embedding than block non-boundary coefficients; larger scale wavelet coefficients are generally more robust than smaller scales; a vertical subband is slightly preferred at small and large scales, while a horizontal subband is preferred at a medium scale.
  • Keywords
    discrete wavelet transforms; image coding; watermarking; JPEG compression; additive spread spectrum watermarking; block boundary coefficients; block nonboundary coefficients; discrete wavelet transform coefficient; image feature; watermark robustness; watermark survival chance concept; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Robustness; Transform coding; Watermarking; Image watermarking; JPEG compression; robustness improvement; spread spectrum; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652589
  • Filename
    5652589