• DocumentCode
    1940385
  • Title

    Histogram-Preserving Steganography Using Maximum Flow Algorithms

  • Author

    Wanqi Li ; Che Nian ; Ren Jinlin ; You Hongyue

  • Author_Institution
    Comput. Sci. & Eng. Dept., Sichuan Univ., Penshan, China
  • fYear
    2011
  • fDate
    5-7 Aug. 2011
  • Firstpage
    590
  • Lastpage
    593
  • Abstract
    A novel scheme of histogram-preserving steganography is proposed in this article. In this new scheme, the problem of statistical restoration is interpreted as a Linear programming problem and solved using maximum flow algorithms. The experimental results show that our scheme can effectively diminish the relative entropy between the cover and stego images even when the information is embedded at the maximum rate.
  • Keywords
    linear programming; statistical analysis; steganography; histogram-preserving steganography; linear programming problem; maximum flow algorithms; relative entropy; statistical restoration; stego images; Entropy; Gray-scale; Histograms; Image color analysis; Image restoration; Linear programming; Security; Linear programming; histogram-preserving; maximum flows; statistical restoration; steganography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-1-4577-0755-1
  • Electronic_ISBN
    978-0-7695-4455-7
  • Type

    conf

  • DOI
    10.1109/ICDMA.2011.147
  • Filename
    6051916