Tanaka, K., Inoue, J. and Titterington, D.M. (2003) Probabilistic image processing by means of the Bethe approximation for the Q-Ising model. Journal of Physics A: Mathematical and General, 36, pp. 11023-11035. (doi: 10.1088/0305-4470/36/43/025)
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Abstract
The framework of Bayesian image restoration for multi-valued images by means of the Q-Ising model with nearest-neighbour interactions is presented. Hyperparameters in the probabilistic model are determined so as to maximize the marginal likelihood. A practical algorithm is described for multi-valued image restoration based on the Bethe approximation. The algorithm corresponds to loopy belief propagation in artificial intelligence. We conclude that, in real world grey-level images, the Q-Ising model can give us good results.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Titterington, Professor D |
Authors: | Tanaka, K., Inoue, J., and Titterington, D.M. |
College/School: | College of Science and Engineering > School of Mathematics and Statistics > Statistics |
Journal Name: | Journal of Physics A: Mathematical and General |
Publisher: | Institute of Physics Publishing Ltd. |
ISSN: | 0305-4470 |
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