• DocumentCode
    2684173
  • Title

    Hybrid (2, n) Visual Secret Sharing Scheme for Color Images

  • Author

    Lee, Jung-San ; Le, T. Hoang Ngan

  • Author_Institution
    Dept. of Inf. Eng. & Comput. Sci., Feng Chia Univ., Taichung, Taiwan
  • fYear
    2009
  • fDate
    13-17 July 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In several recent decades, many secret sharing schemes for digital images have been developed. At the beginning stage, traditional schemes typically must deal with the problem of computational complexity. Later, other visual secret sharing schemes come with either higher storage cost or low accuracy problems. In this paper, a new (2, n) secret sharing scheme for color images is proposed with hybrid techniques: the gradual search algorithm for a single bitmap BTC (GSBTC), the discrete wavelet transform (DWT), and the vector quantization (VQ) technique. Experimental results confirm that our proposed scheme not only generates a high reconstructed secret color image quality but also provides a set of noise-like grayscale shadows which are much smaller than these in existing schemes.
  • Keywords
    computational complexity; discrete wavelet transforms; image colour analysis; image reconstruction; search problems; security of data; vector quantisation; DWT; VQ technique; computational complexity; digital image; discrete wavelet transform; gradual search algorithm; hybrid (2, n) visual secret sharing scheme; image reconstruction; noise-like grayscale shadow; secret color image quality; single bitmap BTC; vector quantization; Color; Colored noise; Computational complexity; Costs; Cryptography; Digital images; Discrete wavelet transforms; Image reconstruction; Noise generators; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Communication Technologies, 2009. RIVF '09. International Conference on
  • Conference_Location
    Da Nang
  • Print_ISBN
    978-1-4244-4566-0
  • Electronic_ISBN
    978-1-4244-4568-4
  • Type

    conf

  • DOI
    10.1109/RIVF.2009.5174642
  • Filename
    5174642