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Mathematics improves astronomical image understanding
- 1.0348216 - ASÚ 2015 RIV US eng C - Conference Paper (international conference)
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]
R&D Projects: GA ČR GA102/08/1593; GA AV ČR 1QS300120506; GA MŠMT 1M0572
Grant - others:GA MšK(CZ) 2C06019
Institutional research plan: CEZ:AV0Z10030501; CEZ:AV0Z10750506
Keywords : image processing algorithms * image processing in astronomy * robotic vision * flow visualization * signal processing in optics
Subject RIV: BD - Theory of Information
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.
Permanent Link: http://hdl.handle.net/11104/0241868
Number of the records: 1