Počet záznamů: 1

Quality Improvement of Multispectral Images for Ancient Document Analysis

  1. 1.
    0349637 - UTIA-B 2011 RIV HU eng C - Konferenční příspěvek (zahraniční konf.)
    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]
    Grant CEP: GA MŠk 1M0572; GA ČR GA102/08/1593
    Výzkumný záměr: CEZ:AV0Z10750506
    Klíčová slova: document analysis * deblurring * image registration * multispectral imaging * blind source deconvolution
    Kód oboru RIV: JD - Využití počítačů, robotika a její aplikace
    http://library.utia.cas.cz/separaty/2010/ZOI/zitova-quality%20improvement%20of%20multispectral%20images%20for%20ancient%20document%20analysis.pdf 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.
    Trvalý link: http://hdl.handle.net/11104/0189822