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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010351</journal-id>
      <journal-title>Conference on Colour in Graphics, Imaging, and Vision</journal-title>
      <abbrev-journal-title>conf colour graph imag vis</abbrev-journal-title>
      <issn pub-type="ppub">2158-6330</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/CGIV.2006.3.1.art00039</article-id>
      <article-id pub-id-type="sici">2158-6330(20060101)2006:1L.195;1-</article-id>
      <article-id pub-id-type="publisher-id">cgiv_v2006n1/splitsection39.xml</article-id>
      <article-id pub-id-type="other">/ist/cgiv/2006/00002006/00000001/art00039</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Spectral recovery from natural scenes with an RGB digital camera</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Valero</surname>
            <given-names>Eva M.</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Nieves</surname>
            <given-names>Juan L.</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Nascimento</surname>
            <given-names>S&#xE9;rgio M. C.</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Amano</surname>
            <given-names>Kinjiro</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Foster</surname>
            <given-names>David H.</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>01</month>
        <year>2006</year>
      </pub-date>
      <volume>2006</volume>
      <issue>1</issue>
      <fpage>195</fpage>
      <lpage>198</lpage>
      <permissions>
        <copyright-year>2006</copyright-year>
      </permissions>
      <abstract>
        <p>Multispectral images of natural scenes have been used to obtain a recovery matrix that transforms directly R, G, B values to spectral radiance without using linear models for spectral reflectances and illuminants. The R, G, B are simulated digital counts from a standard CCD camera.
 This recovery method had not been tested in natural scenes with uncontrolled illumination and for spectral radiance. We have used three different test data sets to check the method's accuracy, and three different quality measures to test the similarity between recovered and original spectral
 radiances (Goodnes-of-Fit, Root-Mean-Square-Error and &#x394;E*<sub>ab</sub> colour difference). With this simple colorimetric system it was found that natural spectra could be recovered with a quality that is adequate for many applications.</p>
      </abstract>
    </article-meta>
  </front>
</article>
