bibtype C - Conference Paper (international conference)
ARLID 0462116
utime 20240111140923.5
mtime 20160902235959.9
SCOPUS 85005983364
WOS 000391891900138
DOI 10.1109/EUSIPCO.2016.7760343
title (primary) (eng) Variational Bayesian Image Reconstruction with an Uncertainty Model for Measurement Localization
specification
page_count 5 s.
media_type E
serial
ARLID cav_un_epca*0462058
ISBN 978-0-9928-6266-4
title Proc. 2016 24th European Signal Processing Conference (EUSIPCO)
page_num 723-727
publisher
place Budapest
name EUSIPCO
year 2016
keyword Variational Bayes
keyword Image Reconstruction
author (primary)
ARLID cav_un_auth*0101209
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
full_dept Department of Image Processing
name1 Šroubek
name2 Filip
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0293859
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
name1 Soukup
name2 Jindřich
institution UTIA-B
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101238
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
name1 Zitová
name2 Barbara
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2016/ZOI/sroubek-0462116.pdf
source_size 430KB
cas_special
project
ARLID cav_un_auth*0292734
project_id GA13-29225S
agency GA ČR
project
ARLID cav_un_auth*0332878
project_id TA04011392
agency GA TA ČR
country CZ
abstract (eng) 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 image\nreconstruction 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.
action
ARLID cav_un_auth*0332877
name 24th European Signal Processing Conference (EUSIPCO)
dates 29.08.2016-02.09.2016
place Budapest
country HU
RIV JD
reportyear 2017
num_of_auth 3
presentation_type PO
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0262291
confidential S
mrcbC86 n.a. Proceedings Paper Engineering Electrical Electronic
arlyear 2016
mrcbU14 85005983364 SCOPUS
mrcbU34 000391891900138 WOS
mrcbU56 pdf 430KB
mrcbU63 cav_un_epca*0462058 Proc. 2016 24th European Signal Processing Conference (EUSIPCO) 978-0-9928-6266-4 723 727 Budapest EUSIPCO 2016