Počet záznamů: 1

Mathematics improves astronomical image understanding

  1. 1.
    0348216 - ASU-R 2015 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
    Šimberová, Stanislava - Haindl, Michal - Flusser, Jan
    Mathematics improves astronomical image understanding.
    Mathematics and Astronomy: A joint Long Journey. Melville: American Institute of Physics, 2010 - (de Leon, M.; de Diego, D.; Ros, R.), s. 215-221. AIP Conference Proceedings, 1283. ISBN 978-0-7354-0837-1. ISSN 0094-243X.
    [Mathematics and astronomy: A joint long journey. Madrid (ES), 23.11.2009-17.11.2009]
    Grant CEP: GA ČR GA102/08/1593; GA AV ČR 1QS300120506; GA MŠk 1M0572
    Grant ostatní: GA MšK(CZ) 2C06019
    Výzkumný záměr: CEZ:AV0Z10030501; CEZ:AV0Z10750506
    Klíčová slova: image processing algorithms * image processing in astronomy * robotic vision * flow visualization * signal processing in optics
    Kód oboru RIV: BD - Teorie informace

    Mathematical methods enable to recover hidden information very often unobservable for human interpreters. The article introduces an overview of several mathematical image reconstruction methods developed recently by authors. The multichannel approach to reconstruction is based on blind deconvolution, classical superresolution, and exceptionally efficient Markovian random models.
    Trvalý link: http://hdl.handle.net/11104/0241868