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 |
|
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 |
|