bibtype C - Conference Paper (international conference)
ARLID 0349637
utime 20240103194127.0
mtime 20101116235959.9
title (primary) (eng) Quality Improvement of Multispectral Images for Ancient Document Analysis
specification
page_count 6 s.
serial
ARLID cav_un_epca*0349636
ISBN 978-963-9911-16-1
title EUROMED 2010, 3rd International Conference dedicated on Digital Heritage
page_num 29-34
publisher
place Budapest
name ARCHAEOLINGUA
year 2010
editor
name1 Ioannides
name2 M.
editor
name1 Fellner
name2 D.
editor
name1 Georgopoulos
name2 A.
editor
name1 Hadjimitsis
name2 D.
keyword document analysis
keyword deblurring
keyword image registration
keyword multispectral imaging
keyword blind source deconvolution
author (primary)
ARLID cav_un_auth*0265690
name1 Bianco
name2 G.
country IT
author
ARLID cav_un_auth*0265691
name1 Bruno
name2 F.
country IT
author
ARLID cav_un_auth*0265692
name1 Salerno
name2 E.
country IT
author
ARLID cav_un_auth*0265693
name1 Tonazzini
name2 A.
country IT
author
ARLID cav_un_auth*0101238
name1 Zitová
name2 Barbara
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*0101209
name1 Šroubek
name2 Filip
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.
source
url http://library.utia.cas.cz/separaty/2010/ZOI/zitova-quality%20improvement%20of%20multispectral%20images%20for%20ancient%20document%20analysis.pdf
cas_special
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
project
project_id GA102/08/1593
agency GA ČR
ARLID cav_un_auth*0239572
research CEZ:AV0Z10750506
abstract (eng) In this paper we will present a methodology to preliminarily register multispectral images od ancient documents in order to correct geometrical misalignments, and apply deblurring techniques to improve image quality for further document analysis, where sharper images are needed. Deblurring is performed with a multichannel approach, adapted to the case of multispectral acquisition. Statistical techniques of decorrelation are applied to improve the legibility of documents or to restore degraded features, extract individual context parts of the document, separate patterns as the main text from the background, or attenuate interferences due to the seeping of ink from verso-to-recto.
action
ARLID cav_un_auth*0265694
name 3rd International Conference dedicated on Digital Heritage
place Limasol
dates 08.11.2010-13.11.2010
country CY
reportyear 2011
RIV JD
num_of_auth 6
permalink http://hdl.handle.net/11104/0189822
arlyear 2010
mrcbU63 cav_un_epca*0349636 EUROMED 2010, 3rd International Conference dedicated on Digital Heritage 978-963-9911-16-1 29 34 Budapest ARCHAEOLINGUA 2010
mrcbU67 Ioannides M. 340
mrcbU67 Fellner D. 340
mrcbU67 Georgopoulos A. 340
mrcbU67 Hadjimitsis D. 340