Istituto di Scienza e Tecnologie dell'Informazione     
Kayabol K., Kuruoglu E. E., Sankur B. Image source separation using color channel dependencies. In: ICA 2009 - Independent Component Analysis and Signal Separation. 8th International Conference (Paraty, Brazil, 15-18 March 2009). Proceedings, pp. 499 - 506. (Lecture Notes in Computer Science, vol. 5441). Springer, 2009.
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.
URL: http://www.springerlink.com/content/u2213u276150/?sortorder=asc&p_o=60
DOI: 10.1007/978-3-642-00599-2_63
Subject Bayesian source separation
Markov Chain Monte Carlo
I.4 Image Processing and Computer Vision
68-xx Computer science

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