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  Learning High-Order MRF Priors of Color Images

McAuley, J., Caetano, T., Smola, A., & Franz, M. (2006). Learning High-Order MRF Priors of Color Images. In W. Cohen, & A. Moore (Eds.), ICML '06: Proceedings of the 23rd International Conference on Machine Learning (pp. 617-624). New York, NY, USA: ACM Press.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D13B-D Version Permalink: https://hdl.handle.net/21.11116/0000-0004-9A72-E
Genre: Conference Paper

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https://dl.acm.org/citation.cfm?doid=1143844.1143922 (Publisher version)
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 Creators:
McAuley, JJ, Author
Caetano, TS, Author
Smola, AJ, Author           
Franz, MO1, 2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: In this paper, we use large neighborhood Markov random fields to learn rich prior
models of color images. Our approach extends the monochromatic Fields of Experts
model (Roth and Blackwell, 2005 to color images. In the Fields of Experts model, the curse
of dimensionality due to very large clique sizes is circumvented by parameterizing the
potential functions according to a product of experts. We introduce several
simplifications of the original approach by Roth and Black which allow us to cope with
the increased clique size (typically 3x3x3 or 5x5x3 pixels) of color images.
Experimental results are presented for image denoising which evidence improvements over
state-of-the-art monochromatic image priors.

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 Dates: 2006-06
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1145/1143844.1143922
BibTex Citekey: 3921
 Degree: -

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Title: 23rd International Conference on Machine Learning (ICML 2006)
Place of Event: Pittsburgh, PA, USA
Start-/End Date: 2006-06-25 - 2006-06-29

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Title: ICML '06: Proceedings of the 23rd International Conference on Machine Learning
Source Genre: Proceedings
 Creator(s):
Cohen, W, Editor
Moore, A, Editor
Affiliations:
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Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 617 - 624 Identifier: ISBN: 1-59593-383-2