• DocumentCode
    2324569
  • Title

    Improved Halftone Data Hiding Scheme Using Hilbert Curve Neighborhood Toggling

  • Author

    Lien, Brian K. ; Lan, Zhi-Lin

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., FuJen Catholic Univ., Taipei, Taiwan
  • fYear
    2011
  • fDate
    14-16 Oct. 2011
  • Firstpage
    73
  • Lastpage
    76
  • Abstract
    In this paper, we examine the effects of embedding in randomly selected locations and present a simple but novel high capacity data hiding method for halftone images. Data hiding smart pair toggling (DHSPT) is a flexible method for hiding data directly into halftone images in high embedded capacity applications. It embedded data into randomly selected locations, having the chance of forced single-pixel toggling especially when the payload increases. The proposed method avoids the chance of forced single-pixel toggling by selecting the best pair of connected neighboring pixels out of a sequence of candidate pairs along Hilbert curve for a to-be-embedded bit. The proposed method can significantly improve the visual quality of marked halftone images especially for high-capacity data hiding.
  • Keywords
    Hilbert transforms; data encapsulation; image processing; DHSPT; Hilbert curve neighborhood toggling; data hiding smart pair toggling; halftone data hiding scheme; halftone images; randomly selected locations; visual quality; Humans; Image processing; Indexes; PSNR; Payloads; Visualization; Data hiding; Halftone; Hilbert Curve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2011 Seventh International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4577-1397-2
  • Type

    conf

  • DOI
    10.1109/IIHMSP.2011.15
  • Filename
    6079537