Improvements of a two-in-one image secret sharing scheme based on gray mixing model

  • Authors:
  • Peng Li;Pei-Jun Ma;Xiao-Hong Su;Ching-Nung Yang

  • Affiliations:
  • Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China;Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China;Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China;Department of Computer Science and Information Engineering, National Dong Hwa University, #1, Sec. 2, Da Hsueh Rd., Hualien, Taiwan

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2012

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Abstract

Yang and Ciou recently proposed a two-in-one image secret sharing scheme (TiOISSS), which can easily preview a vague image by human eyes, but also provide a perfect reconstruction of the original image by computation. However, their scheme cannot recover the lossless image by computation as they claimed. In this paper, we resolve the problem of lossless reconstruction. In addition, we improve the visual quality of the previewed image. Also, we introduce a new definition of contrast to evaluate the visual quality of the previewed image. Compared with Yang and Ciou's TiOISSS, our scheme can gain the lossless secret image and meantime enhance the contrast of previewed image.