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)
Full text not currently available from Enlighten.
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 |
|---|---|
| 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 |
University Staff: Request a correction | Enlighten Editors: Update this record
Altmetric
Altmetric