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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.2008.16.1.art00057</article-id>
      <article-id pub-id-type="sici">2166-9635(20080101)2008:1L.299;1-</article-id>
      <article-id pub-id-type="publisher-id">cic_v2008n1/splitsection57.xml</article-id>
      <article-id pub-id-type="other">/ist/cic/2008/00002008/00000001/art00057</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Modelling Vividness Perception for Colour Laser Printer Evaluation</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Kim</surname>
            <given-names>Youn Jin</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Bang</surname>
            <given-names>Yousun</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Choi</surname>
            <given-names>Heui-Keun</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>01</month>
        <year>2008</year>
      </pub-date>
      <volume>2008</volume>
      <issue>1</issue>
      <fpage>299</fpage>
      <lpage>303</lpage>
      <permissions>
        <copyright-year>2008</copyright-year>
      </permissions>
      <abstract>
        <p>The present study proposes metrics predicting level of vividness and preferred-vividness that are one of the important image-quality attributes for colour laser printers. Vividness is a term representing chromaticness of colours and also has been adopted as one of the colour adjectives
 in ISCC-NBS colour naming and PCCS systems. It is conceptually similar to chroma. According to ISO 20462-2, triplet comparison method, which is a new psychophysical method that involves the simultaneous scaling of three test stimuli, was performed. As a result, an interval scale for vividness
 was established and it was modelled as a function of mean <italic>C</italic>*<sub><italic>ab</italic></sub> and <italic>L</italic>* of primary colours, e.g. CMYRGB. Pearson correlation between the metric prediction and corresponding subjective data was about 0.96. Both preferred-vividness and vividness metrics
 were based upon chroma and lightness but contribution of lightness is a lot higher for the former (&#x223C; 40%) than for the latter (&#x223C; 10%). Consequently, our vividness metric confirms earlier findings published by Nayatani in 2005.</p>
      </abstract>
    </article-meta>
  </front>
</article>
