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<item>
  <id>02116636</id>
  <dt>j</dt>
  <an>02116636</an>
  <augroup>
    <au>Maniccam, S.S.</au>
    <au>Bourbakis, N.</au>
  </augroup>
  <ti>Lossless compression and information hiding in images.</ti>
  <so>Pattern Recognition 37, No. 3, 475-486 (2004).</so>
  <py>2004</py>
  <pu>Elsevier Science Ltd. (Pergamon), Oxford</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>Image lossless compression</ut>
    <ut>Information hiding</ut>
    <ut>Image processing</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.patcog.2003.08.010</li>
  </ligroup>
  <abgroup>
    <ab>Summary: This paper presents an image lossless compression and information-hiding schemes based on the same methodology. The methodology presented here is based on the known SCAN formal language for data accessing and processing. In particular, the compression part produces a lossless compression ratio of 1.88 for the standard Lenna, while the hiding part is able to embeds digital information at $12.5\%$ of the size of the original image. Results from various images are also provided.</ab>
    <rv></rv>
  </abgroup>
</item>