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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010342</journal-id>
      <journal-title>International Symposium on Technologies for Digital Photo Fulfillment</journal-title>
      <abbrev-journal-title>int symp technol digital</abbrev-journal-title>
      <issn pub-type="ppub">2169-4664</issn><issn pub-type="epub">2169-4672</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.2169-4672.2009.2.0.5</article-id>
      <article-id pub-id-type="sici">2169-4664(20090101)2009:1L.5;1-</article-id>
      <article-id pub-id-type="publisher-id">s2.phd</article-id>
      <article-id pub-id-type="other">/ist/tdpf/2009/00002009/00000001/art00002</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>HP's Real Life Technologies for Image Enhancement</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Gompertz</surname>
            <given-names>Ron</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Packard</surname>
            <given-names>Hewlett</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>01</month>
        <year>2009</year>
      </pub-date>
      <volume>2009</volume>
      <issue>1</issue>
      <fpage>5</fpage>
      <lpage>8</lpage>
      <permissions>
        <copyright-year>2009</copyright-year>
      </permissions>
      <abstract>
        <p>This presentation will focus on the key technologies HP uses to enhance images and how a central team of color, imaging, and software engineers created an imaging pipeline that has been ported across consumer, commercial and retail photo printing products. Many real world examples
 are cited along with specific discussion of algorithms such as “Pet Eye” ( red eye correction for animals). Some insights into our upstream techniques for image classification and analysis are discussed. Ideas for future areas of research and development are also suggested.</p>
      </abstract>
    </article-meta>
  </front>
</article>
