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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

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

  • e-ISSN

  • 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