NDLI: Deconvolutionwith gaussian blur parameter and hyperparameters estimation

Content Provider	IEEE Xplore Digital Library
Author	Orieux, F. Giovannelli, J.-F. Rodet, T.
Copyright Year	2010
Description	Author affiliation: Laboratoire de l'Intégration du Matériau au Système (CNRS - ENSEIRB - Univ. Bordeaux 1 - ENSCPB), 351 Cours de la libération, 33 405 Talence, France (Giovannelli, J.-F.) \|\| Laboratoire des Signaux et Systèmes (CNRS - SUPELEC - Univ. Paris-Sud 11), SUPELEC, Plateau de Moulon, 91 192 Gif-sur-Yvette Cedex, France (Orieux, F.; Rodet, T.)
Abstract	This paper proposes a Bayesian approach for unsupervised image deconvolution when the parameter of the gaussian PSF is unknown. The parameters of the regularization parameters are also unknown and jointly estimated with the other parameters. The solution is found by inferring on a global a posteriori law for unknown object and parameters. The estimate is chosen in the sense of the posterior mean, numerically calculated by means of a Monte-Carlo Markov chain algorithm. The computation is efficiently done in Fourier space and the practicability of the method is shown on simulated examples. Results show high-frequencies restoration in the estimated image with correct estimation of the hyperparameters and instrument parameters.
Starting Page	1350
Ending Page	1353
File Size	302674
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495444
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Deconvolution Computational modeling Instruments Shape Image restoration Optical imaging Pixel Bayesian methods Medical simulation Monte-Carlo Markov chain unsupervised deconvolution myopic deconvolution full-bayesian approach
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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