bibtype J - Journal Article
ARLID 0394767
utime 20240103202807.3
mtime 20130920235959.9
WOS 000324382700020
SCOPUS 84893548773
DOI 10.1109/TIP.2013.2268972
title (primary) (eng) Blur Invariant Translational Image Registration for N-fold Symmetric Blurs
specification
page_count 14 s.
media_type P
serial
ARLID cav_un_epca*0253235
ISSN 1057-7149
title IEEE Transactions on Image Processing
volume_id 22
volume 9 (2013)
page_num 3676-3689
publisher
name Institute of Electrical and Electronics Engineers
keyword Image registration
keyword blurred images
keyword N-fold rotation symmetry
keyword phase correlation
author (primary)
ARLID cav_un_auth*0293889
name1 Pedone
name2 M.
country IT
author
ARLID cav_un_auth*0101087
name1 Flusser
name2 Jan
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0293890
name1 Heikkilä
name2 J.
country FI
source
url http://library.utia.cas.cz/separaty/2013/ZOI/flusser-0394767.pdf
cas_special
project
project_id GAP103/11/1552
agency GA ČR
ARLID cav_un_auth*0273618
abstract (eng) In this paper, we propose a new registration method designed particularly for registering differently blurred images. Such a task cannot be successfully resolved by traditional approaches. Our method is inspired by traditional phase correlation, which is now applied to certain blur-invariant descriptors instead of the original images. This method works for unknown blurs assuming the blurring PSF exhibits an N-fold rotational symmetry. It does not require any landmarks. We have experimentally proven its good performance, which is not dependent on the amount of blur. In this paper, we explicitly address only registration with respect to translation, but the method can be readily generalized to rotation and scaling.
reportyear 2014
RIV JD
num_of_auth 3
mrcbC52 4 A 4a 20231122135724.5
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0223843
mrcbT16-e COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC
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mrcbT16-j 1.536
mrcbT16-k 15929
mrcbT16-l 427
mrcbT16-s 1.507
mrcbT16-z ScienceCitationIndex
mrcbT16-4 Q1
mrcbT16-B 91.748
mrcbT16-C 89.079
mrcbT16-D Q1*
mrcbT16-E Q1
arlyear 2013
mrcbTft \nSoubory v repozitáři: flusser-0394767.pdf
mrcbU14 84893548773 SCOPUS
mrcbU34 000324382700020 WOS
mrcbU63 cav_un_epca*0253235 IEEE Transactions on Image Processing 1057-7149 1941-0042 Roč. 22 č. 9 2013 3676 3689 Institute of Electrical and Electronics Engineers