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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"></issn>
      <publisher>
        <publisher-name>Society for 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/issn.2169-2629.2021.29.282</article-id>
      <article-id pub-id-type="sici">2166-9635(20211101)2021:29L.282;1-</article-id>
      <article-id pub-id-type="publisher-id">cic_21669635_v2021n29_input/s46.xml</article-id>
      <article-id pub-id-type="other">/ist/cic/2021/00002021/00000029/art00046</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Optimising a Euclidean Colour Space Transform for Colour Order and Perceptual Uniformity</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Munish Ragoo</surname>
            <given-names>Luvin</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Farup</surname>
            <given-names>Ivar</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>11</month>
        <year>2021</year>
      </pub-date>
      <volume>2021</volume>
      <issue>29</issue>
      <fpage>282</fpage>
      <lpage>287</lpage>
      <permissions>
        <copyright-year>2021</copyright-year>
      </permissions>
      <abstract>
        <p>
          <italic>In this paper, we attempt to optimise a colour space transform for colour order and perceptual uniformity to verify if a trade-off could be achieved between the two. The IPT colour space is used as basis for the optimisation. An optimisation model consisting of a modified XYZ-to-LMS
 matrix, a nonlinearity factor, and two geometric transformation matrices is proposed. Two objective functions are constructed based on the optimisation model, where one would improve perceptual uniformity primarily and the other would improve colour order instead. Finally, the two objective
 functions are combined, in an attempt to optimise both simultaneously and see if a trade-off between the seemingly incompatible features can be achieved. The performance of the optimised IPT transform is then compared to the original IPT transform, in terms of relative improvements in perceptual
 uniformity and colour order. Finally, the results show that there is indeed an inverse relationship between the two objectives. However, by adjusting the bias of the optimisation, a balance could be achieved between the two, where both colour order and perceptual uniformity was improved with
 respect to the original IPT transform.</italic>
        </p>
      </abstract>
      <kwd-group>
        <kwd>Colour Space Optimisation</kwd>
        <kwd>Euclidean Colour Space</kwd>
        <kwd>Colour Order</kwd>
        <kwd>Perceptual Uniformity</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
