• DocumentCode
    1976236
  • Title

    A Novel Encoding Method for Ideal Contrast Visual Secret Sharing Schemes with Reversing

  • Author

    Zhang, Haibo ; Wang, Xiaofei ; Huang, Youpeng

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin
  • Volume
    5
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    1341
  • Lastpage
    1345
  • Abstract
    In visual secret sharing (VSS) schemes, a secret image can be visually revealed by overlapping shares. But the contrast of reconstructed image is much lost. A useful way to improve this situation is to employ reversing, a non-cryptographic operation supported by most copy machines, to reverse black and white pixels. Firstly, this paper gives a survey for current VSS schemes with reversing. Secondly, an improved version for Cimato et alpsilas scheme with ideal contrast is shown. It cuts down the encoding runs from m to m-h+1 where m is the pixel expansion. Thirdly, this paper presents a novel scheme with reversing in which a really ideal contrast can be achieved within m-h+1 runs and no pixel expansion occurs. It encodes a secret image block by block (consisting of m pixels), which means that m pixels together join each encoding run. Fourthly, another non-expansible ideal contrast scheme with multi-pixel encoding is also presented, but it is based on non-perfect black VSS scheme.
  • Keywords
    image coding; image colour analysis; image reconstruction; ideal contrast visual secret sharing scheme; image reconstruction; multipixel encoding; noncryptographic operation; nonexpansible ideal contrast scheme; nonperfect black visual secret sharing scheme; pixel expansion; secret image encoding; Computer science; Cryptography; Encoding; Image coding; Image reconstruction; Image storage; Pixel; Software engineering; Variable structure systems; Visual system; ideal contrast; perfect black VSS; reversing; visual secret sharing (VSS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.64
  • Filename
    4723158