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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.2002.1.1.art00004</article-id>
      <article-id pub-id-type="sici">2158-6330(20020101)2002:1L.11;1-</article-id>
      <article-id pub-id-type="publisher-id">cgiv_v2002n1/splitsection4.xml</article-id>
      <article-id pub-id-type="other">/ist/cgiv/2002/00002002/00000001/art00004</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Chromatic Adaptation Model Based on Spectral Property Estimation and Its Color Matching Performance</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Tsukada</surname>
            <given-names>Masato</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Tajima</surname>
            <given-names>Johji</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>01</month>
        <year>2002</year>
      </pub-date>
      <volume>2002</volume>
      <issue>1</issue>
      <fpage>11</fpage>
      <lpage>15</lpage>
      <permissions>
        <copyright-year>2002</copyright-year>
      </permissions>
      <abstract>
        <p>This paper proposes a chromatic adaptation model based on spectral property estimation. In this model, the concept of color constancy in human vision is introduced into color matching. We performed detailed subjective experiments to evaluate the color matching performance of the model
 for natural color images between softcopy and hardcopy by comparing it with that of six other models. The results not only show the color matching performance of each model, but also demonstrate that our model enables better color matching than the six other models, as seen in a darkroom experiment
 involving color matching between two CRT monitors whose whites are quite different.</p>
      </abstract>
    </article-meta>
  </front>
</article>
