Variational Bayesian Image Reconstruction with an Uncertainty Model for Measurement Localization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00462116" target="_blank" >RIV/67985556:_____/16:00462116 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/EUSIPCO.2016.7760343" target="_blank" >http://dx.doi.org/10.1109/EUSIPCO.2016.7760343</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EUSIPCO.2016.7760343" target="_blank" >10.1109/EUSIPCO.2016.7760343</a>
Alternative languages
Result language
angličtina
Original language name
Variational Bayesian Image Reconstruction with an Uncertainty Model for Measurement Localization
Original language description
We propose a general data acquisition model with volatile random displacement of measured samples. Discrepancies between recorded and true positions of the original data is due to the nature of measured data or the acquisition device itself. A reconstruction method based on the Variational Bayesian inference is proposed, which estimates the original data from samples acquired with the acquisition model, and its relation to Jensen’s inequality is discussed. A model variant of 2D imagenreconstruction is analyzed in detail. Further, we outline a relation between the proposed method and the classic deconvolution problem, and illustrate superiority of the Variational Bayesian approach in the case of small number of samples.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. 2016 24th European Signal Processing Conference (EUSIPCO)
ISBN
978-0-9928-6266-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
723-727
Publisher name
EUSIPCO
Place of publication
Budapest
Event location
Budapest
Event date
Aug 29, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000391891900138