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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 for Imaging Science and Technology</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta><article-id pub-id-type="doi">10.2352/CIC.2015.23.1.art00045</article-id>
      <article-id pub-id-type="sici">2166-9635(20151018)2015:1L.248;1-</article-id>
      <article-id pub-id-type="publisher-id">s45.phd</article-id>
      <article-id pub-id-type="other">/ist/cic/2015/00002015/00000001/art00045</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>A Spectral Database of Commonly Used Cine Lighting</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Karge</surname>
            <given-names>Andreas</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Fr&#xF6;hlich</surname>
            <given-names>Jan</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Eberhardt</surname>
            <given-names>Bernd</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>18</day>
        <month>10</month>
        <year>2015</year>
      </pub-date>
      <volume>2015</volume>
      <issue>1</issue>
      <fpage>248</fpage>
      <lpage>254</lpage>
      <permissions>
        <copyright-year>2015</copyright-year>
      </permissions>
      <abstract>
        <p>In recent years, multiple methods have been published that describe how to estimate the spectral response of a camera system or object reflectance spectrum. These methods are becoming increasingly important for the color processing pipeline in movie productions. Knowing the spectral
 power distribution of light sources used in a movie production is essential for a spectral based approach to ensure a correct color reproduction in movie data creation. We present a thoroughly documented data set of spectral power distributions of typical film and TV lighting. The data set
 can be used to create more precise camera characterizations and help to develop spectral color processing pipelines. Furthermore, the spectral power distribution data set can be employed to detect and validate over-aged or damaged lighting, by comparing their spectra to our reference measurement.</p>
      </abstract>
    </article-meta>
  </front>
</article>
