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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.2008.4.1.art00025</article-id>
      <article-id pub-id-type="sici">2158-6330(20080101)2008:1L.108;1-</article-id>
      <article-id pub-id-type="publisher-id">cgiv_v2008n1/splitsection25.xml</article-id>
      <article-id pub-id-type="other">/ist/cgiv/2008/00002008/00000001/art00025</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Objective Quality Measurement Based on Anisotropic Contrast Perception</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Rosselli</surname>
            <given-names>Vincent</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Larabi</surname>
            <given-names>Mohamed-Chaker</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Fernandez-Maloigne</surname>
            <given-names>Christine</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>108</fpage>
      <lpage>111</lpage>
      <permissions>
        <copyright-year>2008</copyright-year>
      </permissions>
      <abstract>
        <p>The study of the Human Visual System (HVS) is very interesting to quantify the quality of a picture, to predict which information will be perceived on it, to apply adapted tools &#x2026; The Contrast Sensitivity Function (CSF) is one of the major ways to integrate the HVS properties
 into an imaging system. It characterizes the sensitivity of the visual system to spatial and temporal frequencies and predicts the behavior for the three channels. Common constructions of the CSF have been performed by estimating the detection threshold beyond which it is possible to perceive
 a stimulus. In this work, we developed a novel approach for spatio-chromatic construction based on matching experiments to estimate the perception threshold in a large range of orientations. It consists in matching the contrast of a test stimulus with that of a reference one. The obtained
 results are quite different in comparison with the standard approaches as the chromatic CSFs have band-pass behavior and not low pass. The obtained model has been integrated in a perceptual color difference metric. The metric is then evaluated.</p>
      </abstract>
    </article-meta>
  </front>
</article>
