Approximations of posterior distributions in blind deconvolution using variational methods

Javier Mateos; Rafael Molina; Aggelos K. Katsaggelos

doi:10.1109/ICIP.2005.1530169

Approximations of posterior distributions in blind deconvolution using variational methods

Javier Mateos^*, Rafael Molina, Aggelos K. Katsaggelos

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

In this paper the blind deconvolution problem is formulated using the variational framework. With its use approximations of the involved probability distributions are developed resulting in two algorithms for the estimation of the posterior distributions of the hyperparameters, the blur, and the original image. The performance of the two proposed restoration algorithms is demonstrated experimentally.

Original language	English (US)
Title of host publication	IEEE International Conference on Image Processing 2005, ICIP 2005
Publisher	IEEE Computer Society
Pages	665-668
Number of pages	4
ISBN (Print)	0780391349, 9780780391345
DOIs	https://doi.org/10.1109/ICIP.2005.1530169
State	Published - 2005
Event	IEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy Duration: Sep 11 2005 → Sep 14 2005

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	2
ISSN (Print)	1522-4880

Other

Other	IEEE International Conference on Image Processing 2005, ICIP 2005
Country/Territory	Italy
City	Genova
Period	9/11/05 → 9/14/05

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1109/ICIP.2005.1530169

Cite this

Mateos, J., Molina, R., & Katsaggelos, A. K. (2005). Approximations of posterior distributions in blind deconvolution using variational methods. In IEEE International Conference on Image Processing 2005, ICIP 2005 (pp. 665-668). [1530169] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/ICIP.2005.1530169

@inproceedings{0972c19424ab43d1855e0519090ae187,

title = "Approximations of posterior distributions in blind deconvolution using variational methods",

abstract = "In this paper the blind deconvolution problem is formulated using the variational framework. With its use approximations of the involved probability distributions are developed resulting in two algorithms for the estimation of the posterior distributions of the hyperparameters, the blur, and the original image. The performance of the two proposed restoration algorithms is demonstrated experimentally.",

author = "Javier Mateos and Rafael Molina and Katsaggelos, {Aggelos K.}",

year = "2005",

doi = "10.1109/ICIP.2005.1530169",

language = "English (US)",

isbn = "0780391349",

series = "Proceedings - International Conference on Image Processing, ICIP",

publisher = "IEEE Computer Society",

pages = "665--668",

booktitle = "IEEE International Conference on Image Processing 2005, ICIP 2005",

address = "United States",

note = "IEEE International Conference on Image Processing 2005, ICIP 2005 ; Conference date: 11-09-2005 Through 14-09-2005",

}

Mateos, J, Molina, R & Katsaggelos, AK 2005, Approximations of posterior distributions in blind deconvolution using variational methods. in IEEE International Conference on Image Processing 2005, ICIP 2005., 1530169, Proceedings - International Conference on Image Processing, ICIP, vol. 2, IEEE Computer Society, pp. 665-668, IEEE International Conference on Image Processing 2005, ICIP 2005, Genova, Italy, 9/11/05. https://doi.org/10.1109/ICIP.2005.1530169

Approximations of posterior distributions in blind deconvolution using variational methods. / Mateos, Javier; Molina, Rafael; Katsaggelos, Aggelos K.

IEEE International Conference on Image Processing 2005, ICIP 2005. IEEE Computer Society, 2005. p. 665-668 1530169 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Approximations of posterior distributions in blind deconvolution using variational methods

AU - Mateos, Javier

AU - Molina, Rafael

AU - Katsaggelos, Aggelos K.

PY - 2005

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AB - In this paper the blind deconvolution problem is formulated using the variational framework. With its use approximations of the involved probability distributions are developed resulting in two algorithms for the estimation of the posterior distributions of the hyperparameters, the blur, and the original image. The performance of the two proposed restoration algorithms is demonstrated experimentally.

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DO - 10.1109/ICIP.2005.1530169

M3 - Conference contribution

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SN - 9780780391345

T3 - Proceedings - International Conference on Image Processing, ICIP

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BT - IEEE International Conference on Image Processing 2005, ICIP 2005

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Y2 - 11 September 2005 through 14 September 2005

ER -

Approximations of posterior distributions in blind deconvolution using variational methods

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