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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010604</journal-id>
      <journal-title>Electronic Imaging</journal-title>
      <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub"></issn>
      <publisher>
        <publisher-name>Society for Imaging Science and Technology</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.2352/ISSN.2470-1173.2018.13.IPAS-219</article-id>
      <article-id pub-id-type="sici">2470-1173(20180128)2018:13L.2191;1-</article-id>
      <article-id pub-id-type="publisher-id">s6.phd</article-id>
      <article-id pub-id-type="other">/ist/ei/2018/00002018/00000013/art00006</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Color Visibility Images and Measures of Image Enhancement</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Grigoryan</surname>
            <given-names>Artyom</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Agaian</surname>
            <given-names>Sos</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>28</day>
        <month>01</month>
        <year>2018</year>
      </pub-date>
      <volume>2018</volume>
      <issue>13</issue>
      <fpage>219-1</fpage>
      <lpage>219-5</lpage>
      <permissions>
        <copyright-year>2018</copyright-year>
      </permissions>
      <abstract>
        <p>In this paper, we introduce the human visual system-based several new (a) methods to visualize the very small differences in intensities without big changes of primary image information and (b) measures that quality the visuality of both grayscale and color images. Several illustrative
 examples are also presented. The proposed concepts can be used for many image processing, computer vision and recognition system applications.</p>
      </abstract>
      <kwd-group>
        <kwd>Color image enhancement</kwd>
        <kwd>gradient operators</kwd>
        <kwd>quaternion gradients</kwd>
        <kwd>visibility images</kwd>
        <kwd>measure of color image enhancement</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
