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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010351</journal-id>
      <journal-title>Conference on Colour in Graphics, Imaging, and Vision</journal-title>
      <abbrev-journal-title>conf colour graph imag vis</abbrev-journal-title>
      <issn pub-type="ppub">2158-6330</issn><issn pub-type="epub"/>
      <publisher>
        <publisher-name>Society of Imaging Science and Technology</publisher-name>
        <publisher-loc>7003 Kilworth Lane, Springfield, VA 22151, USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta><article-id pub-id-type="doi">10.2352/CGIV.2004.2.1.art00071</article-id>
      <article-id pub-id-type="sici">2158-6330(20040101)2004:1L.359;1-</article-id>
      <article-id pub-id-type="publisher-id">cgiv_v2004n1/splitsection71.xml</article-id>
      <article-id pub-id-type="other">/ist/cgiv/2004/00002004/00000001/art00071</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Color Image Enhancement Using A Retinex-Based Adaptive Filter</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Meylan</surname>
            <given-names>Laurence</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>S&#xFC;sstrunk</surname>
            <given-names>Sabine</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>01</month>
        <year>2004</year>
      </pub-date>
      <volume>2004</volume>
      <issue>1</issue>
      <fpage>359</fpage>
      <lpage>363</lpage>
      <permissions>
        <copyright-year>2004</copyright-year>
      </permissions>
      <abstract>
        <p>We present a new adaptation of Retinex to enhance the rendering of high dynamic range digital color images. The image is processed using an adaptive Gaussian filter. The shape of the filter basis is adapted to follow the high contrasted edges of the image. In this way, the artifacts
 introduced by a circularly symmetric filter at the border of high contrasted areas are reduced. This method provides a way of rendering natural images that is inspired by human local adaptation. It is included into a framework that takes raw linear images or radiance maps and outputs 24-bit
 images rendered for display.</p>
      </abstract>
    </article-meta>
  </front>
</article>
