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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010350</journal-id>
      <journal-title>Color and Imaging Conference</journal-title>
      <abbrev-journal-title>color imaging conf</abbrev-journal-title>
      <issn pub-type="ppub">2166-9635</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/CIC.2002.10.1.art00046</article-id>
      <article-id pub-id-type="sici">2166-9635(20020101)2002:1L.246;1-</article-id>
      <article-id pub-id-type="publisher-id">cic_v2002n1/splitsection46.xml</article-id>
      <article-id pub-id-type="other">/ist/cic/2002/00002002/00000001/art00046</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Spectral Based Color Reproduction for E-commerce with High Compatibility</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Tsumura</surname>
            <given-names>Norimichi</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Cherdhirunkorn</surname>
            <given-names>Kunlaya</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Ikeda</surname>
            <given-names>Testuo</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Nakao</surname>
            <given-names>Daisuke</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Miyake</surname>
            <given-names>Yoichi</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>246</fpage>
      <lpage>249</lpage>
      <permissions>
        <copyright-year>2002</copyright-year>
      </permissions>
      <abstract>
        <p>Recently, images of products are easily transferred to the customer in the E-commerce system, and are important information to decide to buy the products. The color of product is one of the important information. In this paper, spectral turn technique is proposed to achieve spectral
 based color reproduction in the e-commerce system with high lower compatibility to the conventional imaging technology.</p>
      </abstract>
    </article-meta>
  </front>
</article>
