Konferans bildirisi Açık Erişim
Kayabol, Koray; Kuruoglu, Ercan E.; Sankur, Bulent
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <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> </descriptions> </resource>
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