Quality Improvement of Multispectral Images for Ancient Document Analysis

0349637 - ÚTIA 2011 RIV HU eng C - Conference Paper (international conference)
Bianco, G. - Bruno, F. - Salerno, E. - Tonazzini, A. - Zitová, Barbara - Šroubek, Filip
Quality Improvement of Multispectral Images for Ancient Document Analysis.
EUROMED 2010, 3rd International Conference dedicated on Digital Heritage. Budapest: ARCHAEOLINGUA, 2010 - (Ioannides, M.; Fellner, D.; Georgopoulos, A.; Hadjimitsis, D.), s. 29-34. ISBN 978-963-9911-16-1.
[3rd International Conference dedicated on Digital Heritage. Limasol (CY), 08.11.2010-13.11.2010]
R&D Projects: GA MŠMT 1M0572; GA ČR GA102/08/1593
Institutional research plan: CEZ:AV0Z10750506
Keywords : document analysis * deblurring * image registration * multispectral imaging * blind source deconvolution
Subject RIV: JD - Computer Applications, Robotics
http://library.utia.cas.cz/separaty/2010/ZOI/zitova-quality%20improvement%20of%20multispectral%20images%20for%20ancient%20document%20analysis.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0189822