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Image Source Separation Using Color Channel Dependencies

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


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        "affiliation": "CNR, ISTI, Via G Moruzzi 1, I-56124 Pisa, Italy", 
        "name": "Kayabol, Koray"
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        "affiliation": "CNR, ISTI, Via G Moruzzi 1, I-56124 Pisa, Italy", 
        "name": "Kuruoglu, Ercan E."
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        "affiliation": "Bogazici Univ, Istanbul 80815, Turkey", 
        "name": "Sankur, Bulent"
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    "description": "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.", 
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Kayabol, K., Kuruoglu, E. E. ve Sankur, B. (2009). Image Source Separation Using Color Channel Dependencies. içinde . https://aperta.ulakbim.gov.tr/record/38431 adresinden erişildi.

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