loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
17th International Conference on Pattern Recognition (ICPR'04) - Volume 2
Probabilistic Image Processing based on the Q-Ising Model by Means of the Mean-Field Method and Loopy Belief Propagation
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
x 
 
Kazuyuki Tanaka, D. M. Titterington, "Probabilistic Image Processing based on the Q-Ising Model by Means of the Mean-Field Method and Loopy Belief Propagation," Pattern Recognition, International Conference on, vol. 2, pp. 40-43, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2004.1334012,
author = {Kazuyuki Tanaka and D. M. Titterington},
title = {Probabilistic Image Processing based on the Q-Ising Model by Means of the Mean-Field Method and Loopy Belief Propagation},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2004},
issn = {1051-4651},
pages = {40-43},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334012},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Probabilistic Image Processing based on the Q-Ising Model by Means of the Mean-Field Method and Loopy Belief Propagation
SN - 1051-4651
SP40
EP43
A1 - Kazuyuki Tanaka,
A1 - D. M. Titterington,
PY - 2004
KW - null
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Kazuyuki Tanaka, Tohoku University, Japan
D. M. Titterington, University of Glasgow, UK
The framework is presented of Bayesian image restoration for multi-valued images by means of the Q-Ising model. Hyperparameters in the probabilistic model are determined so as to maximize the marginal likelihood. Practical algorithms are described based the conventional mean-field approximation and loopy belief propagation. We compare the results empirically with those provided by conventional filters and the new methodsarefound to be superior.
Citation:
Kazuyuki Tanaka, D. M. Titterington, "Probabilistic Image Processing based on the Q-Ising Model by Means of the Mean-Field Method and Loopy Belief Propagation," icpr, vol. 2, pp.40-43, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004
Usage of this product signifies your acceptance of the Terms of Use.