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Image Source Separation Using Color Channel Dependencies

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


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{
  "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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