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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.1999.7.1.art00046</article-id>
      <article-id pub-id-type="sici">2166-9635(19990101)1999:1L.247;1-</article-id>
      <article-id pub-id-type="publisher-id">cic_v1999n1/splitsection46.xml</article-id>
      <article-id pub-id-type="other">/ist/cic/1999/00001999/00000001/art00046</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Gamut Visualization Tools and Metrics</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Reel</surname>
            <given-names>Richard L.</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Penrod</surname>
            <given-names>Michael A.</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>01</month>
        <year>1999</year>
      </pub-date>
      <volume>1999</volume>
      <issue>1</issue>
      <fpage>247</fpage>
      <lpage>251</lpage>
      <permissions>
        <copyright-year>1999</copyright-year>
      </permissions>
      <abstract>
        <p>Gamut volume is a metric that is often used to compare ink sets or printing methods. Gamut volume does not, however, give any information about the distribution of the colors in the gamut. 3-D gamut plots or 2-D projections give more distribution information but can be difficult to
 use when a comparison of multiple color gamuts is needed. A new color gamut visualization method is presented which allows several gamuts to be plotted together for easy comparisons. Two different examples of this new tool are demonstrated. The first example compares three different printers
 and the second example compares three different ink sets.</p>
      </abstract>
    </article-meta>
  </front>
</article>
