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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010410</journal-id>
      <journal-title>NIP &amp; Digital Fabrication Conference</journal-title>
      <abbrev-journal-title>nip digi fabric conf</abbrev-journal-title>
      <issn pub-type="ppub">2169-4451</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/ISSN.2169-4451.2009.25.1.art00077_2</article-id>
      <article-id pub-id-type="sici">2169-4451(20090101)2009:2L.686;1-</article-id>
      <article-id pub-id-type="publisher-id">nip_v2009n2/splitsection77.xml</article-id>
      <article-id pub-id-type="other">/ist/nipdf/2009/00002009/00000002/art00077</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Improving Tone Prediction Accuracy in Calibration for Color Electrophotography Part I &#x2013; Environmental and Consumable</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Yang</surname>
            <given-names>Chao-Lung</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Kuo</surname>
            <given-names>Yan-Fu</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Yih</surname>
            <given-names>Yuehwern</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Chiu</surname>
            <given-names>George T.-C.</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Abramsohn</surname>
            <given-names>Dennis A.</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Ashton</surname>
            <given-names>Gary R.</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Allebach</surname>
            <given-names>Jan P.</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>01</month>
        <year>2009</year>
      </pub-date>
      <volume>2009</volume>
      <issue>2</issue>
      <fpage>686</fpage>
      <lpage>689</lpage>
      <permissions>
        <copyright-year>2009</copyright-year>
      </permissions>
      <abstract>
        <p>Environmental and consumable operating conditions have been observed to have significant impact on the color electrophotographic (EP) process. This paper presents the results of utilizing operating information to improve the sensor mapping which predicts tone reproduction on printing
 media based on measurements on substitute media in off-line calibration. In this research, time-series sensor data and color measurements have been collected from off-the-shelf color EP platform printers under a variety of operating conditions. The data analysis shows that the sensor mapping
 has distinctive behaviors under different levels of relative humidity and cartridge toner consumption. In addition, the sensor mapping has been found to be sensitive to tone level. A new prediction model is proposed to compensate for environmental and consumable disturbances and to capture
 tone-level-dependent characteristics. The experimental results show the proposed model is able to improve the prediction accuracy by 30% on average.</p>
      </abstract>
    </article-meta>
  </front>
</article>
