Entry Cimato:2006:PVC from compj2000.bib

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BibTeX entry

@Article{Cimato:2006:PVC,
  author =       "S. Cimato and R. {De Prisco} and A. {De Santis}",
  title =        "Probabilistic Visual Cryptography Schemes",
  journal =      j-COMP-J,
  volume =       "49",
  number =       "1",
  pages =        "97--107",
  month =        jan,
  year =         "2006",
  CODEN =        "CMPJA6",
  DOI =          "https://doi.org/10.1093/comjnl/bxh152",
  ISSN =         "0010-4620 (print), 1460-2067 (electronic)",
  ISSN-L =       "0010-4620",
  bibdate =      "Wed Dec 21 17:38:55 MST 2005",
  bibsource =    "http://comjnl.oxfordjournals.org/content/vol49/issue1/index.dtl;
                 http://www.math.utah.edu/pub/tex/bib/compj2000.bib",
  URL =          "http://comjnl.oxfordjournals.org/cgi/content/abstract/49/1/97;
                 http://comjnl.oxfordjournals.org/cgi/content/full/49/1/97;
                 http://comjnl.oxfordjournals.org/cgi/reprint/49/1/97",
  abstract =     "Visual cryptography schemes allow the encoding of a
                 secret image, consisting of black or white pixels, into
                 $n$ shares which are distributed to the participants.
                 The shares are such that only qualified subsets of
                 participants can `visually' recover the secret image.
                 The secret pixels are shared with techniques that
                 subdivide each secret pixel into a certain number $m$,
                 $m \geq 2$ of subpixels. Such a parameter $m$ is called
                 pixel expansion. Recently Yang introduced a
                 probabilistic model. In such a model the pixel
                 expansion $m$ is $1$, that is, there is no pixel
                 expansion. The reconstruction of the image however is
                 probabilistic, meaning that a secret pixel will be
                 correctly reconstructed only with a certain
                 probability. In this paper we propose a generalization
                 of the model proposed by Yang. In our model we fix the
                 pixel expansion $m \geq 1$ that can be tolerated and we
                 consider probabilistic schemes attaining such a pixel
                 expansion. For $m = 1$ our model reduces to the one of
                 Yang. For big enough values of $m$, for which a
                 deterministic scheme exists, our model reduces to the
                 classical deterministic model. We show that between
                 these two extremes one can trade the probability factor
                 of the scheme with the pixel expansion. Moreover, we
                 prove that there is a one-to-one mapping between
                 deterministic schemes and probabilistic schemes with no
                 pixel expansion, where contrast is traded for the
                 probability factor.",
  acknowledgement = ack-nhfb,
  fjournal =     "The Computer Journal",
  journal-URL =  "http://comjnl.oxfordjournals.org/",
}

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