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Image Source Separation Using Color Channel Dependencies

Kayabol, Koray; Kuruoglu, Ercan E.; Sankur, Bulent


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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/38431</identifier>
  <creators>
    <creator>
      <creatorName>Kayabol, Koray</creatorName>
      <givenName>Koray</givenName>
      <familyName>Kayabol</familyName>
      <affiliation>CNR, ISTI, Via G Moruzzi 1, I-56124 Pisa, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Kuruoglu, Ercan E.</creatorName>
      <givenName>Ercan E.</givenName>
      <familyName>Kuruoglu</familyName>
      <affiliation>CNR, ISTI, Via G Moruzzi 1, I-56124 Pisa, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Sankur, Bulent</creatorName>
      <givenName>Bulent</givenName>
      <familyName>Sankur</familyName>
      <affiliation>Bogazici Univ, Istanbul 80815, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Image Source Separation Using Color Channel Dependencies</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2009</publicationYear>
  <dates>
    <date dateType="Issued">2009-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/38431</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.38430</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.38431</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">We investigate the problem of source separation in images in the Bayesian framework using the color channel dependencies. As a case in point we consider the source separation of color images which have dependence between its components. A Markov Random Field (MRF) is used for modeling of the inter and intra-source local correlations. We. resort to Gibbs sampling algorithm for obtaining the MAP estimate of the sources since non-Gaussian priors are adopted. We test the performance of the proposed method both oil synthetic color texture mixtures and a realistic color scene captured with a spurious reflection.</description>
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