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International Conference on Independent Component Analysis and Signal Separation

ICA 2009: Independent Component Analysis and Signal Separation pp 499–506Cite as

Image Source Separation Using Color Channel Dependencies

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 5441)

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 on synthetic color texture mixtures and a realistic color scene captured with a spurious reflection.

Keywords

  • Color Image
  • Markov Random Field
  • Source Separation
  • Gibbs Distribution
  • Color Texture

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This work was supported by CNR-TUBITAK joint project No. 104E101. Partial support has also been given by the Italian Space Agency (ASI), under project COFIS.

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  • DOI: 10.1007/978-3-642-00599-2_63
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References

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Author information

Authors and Affiliations

  1. ISTI, CNR, via G. Moruzzi 1, 56124, Pisa, Italy

    Koray Kayabol & Ercan E. Kuruoglu

  2. Bogazici University, Bebek, 80815, Istanbul, Turkey

    Bulent Sankur

Authors
  1. Koray Kayabol
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  2. Ercan E. Kuruoglu
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  3. Bulent Sankur
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Electrical Engineering, ITE 324, University of Maryland, Baltimore County, 1000 Hilltop Circle, MD 21250, Baltimore, USA

    Tülay Adali

  2. Domaine Universitaire, GIPSA-lab, BP 46, 38402, Saint Martin d’Hères Cedex, France

    Christian Jutten

  3. Departamento de Microonda e Óptica (DMO), FEEC / Unicamp, Avenida Albert Einstein 400, 13083-852, Campinas, Sao Paulo, Brazil

    João Marcos Travassos Romano

  4. Centro Tecnológico, Curso de Engenharia Elétrica, Universidade Federal do Maranhão, Avenida dos Portugueses, s/n, Bacanga, 65080-040, São Luís, MA, Brazil

    Allan Kardec Barros

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© 2009 Springer-Verlag Berlin Heidelberg

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Kayabol, K., Kuruoglu, E.E., Sankur, B. (2009). Image Source Separation Using Color Channel Dependencies. In: Adali, T., Jutten, C., Romano, J.M.T., Barros, A.K. (eds) Independent Component Analysis and Signal Separation. ICA 2009. Lecture Notes in Computer Science, vol 5441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00599-2_63

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  • DOI: https://doi.org/10.1007/978-3-642-00599-2_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00598-5

  • Online ISBN: 978-3-642-00599-2

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