bibtype J - Journal Article
ARLID 0441247
utime 20240103205743.1
mtime 20150224235959.9
SCOPUS 84959541830
WOS 000349163300007
DOI 10.1109/TIP.2015.2390977
title (primary) (eng) Registration of Images with N-fold Dihedral Blur
specification
page_count 10 s.
media_type P
serial
ARLID cav_un_epca*0253235
ISSN 1057-7149
title IEEE Transactions on Image Processing
volume_id 24
volume 3 (2015)
page_num 1036-1045
publisher
name Institute of Electrical and Electronics Engineers
keyword Image registration
keyword blurred images
keyword N-fold rotational symmetry
keyword dihedral symmetry
keyword phase correlation
author (primary)
ARLID cav_un_auth*0293889
name1 Pedone
name2 M.
country IT
author
ARLID cav_un_auth*0101087
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
name1 Flusser
name2 Jan
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0218131
name1 Heikkila
name2 J.
country FI
source
url http://library.utia.cas.cz/separaty/2015/ZOI/flusser-0441247.pdf
cas_special
project
ARLID cav_un_auth*0292734
project_id GA13-29225S
agency GA ČR
project
ARLID cav_un_auth*0314467
project_id GA15-16928S
agency GA ČR
abstract (eng) In this paper, we extend our recent registration method designed specifically for registering blurred images. The original method works for unknown blurs, assuming the blurring point-spread function (PSF) exhibits an N-fold rotational symmetry. Here, we also generalize the theory to the case of dihedrally symmetric blurs, which are produced by the PSFs having both rotational and axial symmetries. Such kind of blurs are often found in unfocused images acquired by digital cameras, as in out-of-focus shots the PSF typically mimics the shape of the shutter aperture. This makes our registration algorithm particularly well-suited in applications where blurred image registration must be used as a preprocess step of an image fusion algorithm, and where common registration methods fail, due to the amount of blur. We demonstrate that the proposed method leads to an improvement of the registration performance, and we show its applicability to real images by providing successful examples of blurred image registration followed by depth-of-field extension and multichannel blind deconvolution.
RIV JD
reportyear 2015
num_of_auth 3
mrcbC52 4 A hod 4ah 20231122140836.4
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0244682
mrcbC64 1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, THEORY & METHODS
confidential S
mrcbT16-e COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC
mrcbT16-j 1.874
mrcbT16-s 2.106
mrcbT16-4 Q1
mrcbT16-B 95.533
mrcbT16-C 93.335
mrcbT16-D Q1*
mrcbT16-E Q1*
arlyear 2015
mrcbTft \nSoubory v repozitáři: flusser-0441247.pdf
mrcbU14 84959541830 SCOPUS
mrcbU34 000349163300007 WOS
mrcbU63 cav_un_epca*0253235 IEEE Transactions on Image Processing 1057-7149 1941-0042 Roč. 24 č. 3 2015 1036 1045 Institute of Electrical and Electronics Engineers