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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.2010.18.1.art00051</article-id>
      <article-id pub-id-type="sici">2166-9635(20100101)2010:1L.291;1-</article-id>
      <article-id pub-id-type="publisher-id">cic_v2010n1/splitsection51.xml</article-id>
      <article-id pub-id-type="other">/ist/cic/2010/00002010/00000001/art00051</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Automatic Spot Color Matching Using In-line Densitometric Measurements</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Aharon</surname>
            <given-names>Michal</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Shelef</surname>
            <given-names>Eyal</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Shaked</surname>
            <given-names>Doron</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Harush</surname>
            <given-names>Shlomo</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Yedid-Am</surname>
            <given-names>Tsafrir</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Braverman</surname>
            <given-names>Gregory</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Blinchuk</surname>
            <given-names>Pavel</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>01</month>
        <year>2010</year>
      </pub-date>
      <volume>2010</volume>
      <issue>1</issue>
      <fpage>291</fpage>
      <lpage>294</lpage>
      <permissions>
        <copyright-year>2010</copyright-year>
      </permissions>
      <abstract>
        <p>In many applications a very accurate color needs to be achieved in print. In industrial printing this applies often to product colors which have to be consistent across printing sessions of the same product and across printing technologies (e.g. packages, labels, banners, and adds of
 the same product). In Enterprise printing this can apply to company logos. Currently few solutions are possible: One solution is using special inks. However, the design of the ink is not always feasible, and may be very expensive. The most common is the use of special color conversion tables.
 However, in most cases the accuracy of these tables is not perfect over the whole color gamut and further tweaking must be performed in order to achieve better accuracy, which increases the setup time for each job.We propose a method for spot color printing using the set of available inks
 on the press. Our method is an iterative scheme that contains a feedback from a simple In-Line Densitometer (ILD) located in the paper path of many industrial presses after the printing engine (all our experiments have been conducted on HP Indigo presses). Required colors are specified by
 their Lab values. In each iteration a new coverage is printed and measured by the ILD, the algorithm calculates the change in coverage that is estimated to provide an output that is likely closest to the target Lab values required by the user. Initial results show the achieved mean accuracy
 for in-gamut colors is less than 1 &#x394;E. This accuracy is achieved for various paper types without any need to pre-define the paper type or other parameters.</p>
      </abstract>
    </article-meta>
  </front>
</article>
