USING LOGARITHMIC OPINION POOLING TECHNIQUES IN BAYESIAN BLIND MULTI-CHANNEL RESTORATION
Bruno Amizic, Aggelos K. Katsaggelos, Rafael Molina
2008
Abstract
In this paper we examine the use of logarithmic opinion pooling techniques to combine two observations models that are normally used in multi-channel image restoration techniques. The combined observation model is used together with simultaneous autoregression prior models for the image and blurs to define the joint distribution of image, blurs and observations. Assuming that all the unknown parameters are previously estimated we use variational techniques to approximate the posterior distribution of the real underlying image and the unknown blurs. We will examine the use of two approximations of the posterior distribution. Experimental results are used to validate the proposed approach.
DownloadPaper Citation
in Harvard Style
Amizic B., K. Katsaggelos A. and Molina R. (2008). USING LOGARITHMIC OPINION POOLING TECHNIQUES IN BAYESIAN BLIND MULTI-CHANNEL RESTORATION . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: BAIPCV, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 565-570. DOI: 10.5220/0001091405650570
in Bibtex Style
@conference{baipcv08,
author={Bruno Amizic and Aggelos K. Katsaggelos and Rafael Molina},
title={USING LOGARITHMIC OPINION POOLING TECHNIQUES IN BAYESIAN BLIND MULTI-CHANNEL RESTORATION},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: BAIPCV, (VISIGRAPP 2008)},
year={2008},
pages={565-570},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001091405650570},
isbn={978-989-8111-21-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: BAIPCV, (VISIGRAPP 2008)
TI - USING LOGARITHMIC OPINION POOLING TECHNIQUES IN BAYESIAN BLIND MULTI-CHANNEL RESTORATION
SN - 978-989-8111-21-0
AU - Amizic B.
AU - K. Katsaggelos A.
AU - Molina R.
PY - 2008
SP - 565
EP - 570
DO - 10.5220/0001091405650570