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Kayabol, Koray; Kuruoglu, Ercan E.; Sankur, Bulent
{ "URL": "https://aperta.ulakbim.gov.tr/record/38431", "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.", "author": [ { "family": "Kayabol", "given": " Koray" }, { "family": "Kuruoglu", "given": " Ercan E." }, { "family": "Sankur", "given": " Bulent" } ], "id": "38431", "issued": { "date-parts": [ [ 2009, 1, 1 ] ] }, "title": "Image Source Separation Using Color Channel Dependencies", "type": "paper-conference" }
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