bibtype C - Conference Paper (international conference)
ARLID 0494139
utime 20240111141007.0
mtime 20181005235959.9
SCOPUS 85062894265
WOS 000455181502196
DOI 10.1109/ICIP.2018.8451661
title (primary) (eng) Motion Estimation and Deblurring of Fast Moving Objects
specification
page_count 5 s.
media_type E
serial
ARLID cav_un_epca*0496137
ISBN 978-1-4799-7062-9
title Proceedings of the 25th IEEE International Conference on Image Processing 2018
page_num 2860-2864
publisher
place Piscataway
name IEEE
year 2018
keyword blind deblurring
keyword object deblurring
keyword motion estimation
keyword alternating minimization
author (primary)
ARLID cav_un_auth*0293863
name1 Kotera
name2 Jan
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
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101209
name1 Šroubek
name2 Filip
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/2018/ZOI/sroubek-0494139.pdf
source_size 1.5MB
cas_special
project
ARLID cav_un_auth*0361425
project_id GA18-05360S
agency GA ČR
project
ARLID cav_un_auth*0364714
project_id SVV2017260452
agency GA UK
country CZ
abstract (eng) Image deblurring is one of the standard problems in image processing. Recently, this area of research is dominated by blind deblurring, where neither the sharp image nor the blur are known. The majority of works, however, target scenarios where the captured scene is static and the blur is caused by camera motion, i.e. the whole image is blurred. In this work we address a similar yet different scenario: an object moves in front of a static background. Such object is blurred due to motion while the background is sharp and partially occluded by the object. The problem of blind deblurring in such setting has not been properly addressed in literature. We formally define the problem, discuss its solvability, and explain why it cannot be viewed as a special case of classical blind de-blurring. We propose a solution to the presented problem for a particular class of motions and demonstrate results on real data.
action
ARLID cav_un_auth*0366810
name IEEE International Conference on Image Processing 2018 (ICIP 2018) /25./
dates 20181007
mrcbC20-s 20181010
place Atény
country GR
RIV JD
FORD0 20000
FORD1 20200
FORD2 20206
reportyear 2019
num_of_auth 2
presentation_type PO
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0289350
confidential S
mrcbC86 1* Proceedings Paper Computer Science Software Engineering|Imaging Science Photographic Technology
arlyear 2018
mrcbU14 85062894265 SCOPUS
mrcbU24 PUBMED
mrcbU34 000455181502196 WOS
mrcbU56 pdf 1.5MB
mrcbU63 cav_un_epca*0496137 Proceedings of the 25th IEEE International Conference on Image Processing 2018 978-1-4799-7062-9 2860 2864 Piscataway IEEE 2018