bibtype C - Conference Paper (international conference)
ARLID 0508120
utime 20240111141023.5
mtime 20190909235959.9
SCOPUS 85075611022
DOI 10.23919/EUSIPCO.2019.8903114
title (primary) (eng) Iterative Wiener Filtering for Deconvolution with Ringing Artifact Suppression
specification
page_count 5 s.
media_type E
serial
ARLID cav_un_epca*0508119
ISBN 978-9-0827-9702-2
ISSN 2076-1465
title Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2019)
page_num 1159-1163
publisher
place Piscataway
name IEEE
year 2019
keyword Wiener filter
keyword LMMSE
keyword deconvolution
keyword total variation
keyword ADMM
keyword non-smooth optimization
author (primary)
ARLID cav_un_auth*0101209
name1 Šroubek
name2 Filip
institution UTIA-B
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
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0379363
name1 Kerepecký
name2 Tomáš
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0213251
name1 Kamenický
name2 Jan
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2019/ZOI/sroubek-0508120.pdf
source_size 607KB
cas_special
project
project_id GA18-05360S
agency GA ČR
ARLID cav_un_auth*0361425
project
project_id AP1701
agency AV ČR
country CZ
ARLID cav_un_auth*0289546
abstract (eng) Sensor and lens blur degrade images acquired by digital cameras. Simple and fast removal of blur using linear filtering, such as Wiener filter, produces results that are not acceptable in most of the cases due to ringing artifacts close to image borders and around edges in the image. We have developed deconvolution algorithm with ringing artifact suppression implemented with simple filtering and element-wise softthresholding.
action
ARLID cav_un_auth*0379364
name European Signal Processing Conference (EUSIPCO 2019) /27./
dates 20190902
mrcbC20-s 20190906
place A Coruna
country ES
RIV JD
FORD0 20000
FORD1 20200
FORD2 20206
reportyear 2020
num_of_auth 3
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0299779
confidential S
arlyear 2019
mrcbU14 85075611022 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU56 pdf 607KB
mrcbU63 cav_un_epca*0508119 Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2019) 978-9-0827-9702-2 2076-1465 1159 1163 Piscataway IEEE 2019