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Mathematics improves astronomical image understanding
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SYSNO ASEP 0348216 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Mathematics improves astronomical image understanding Author(s) Šimberová, Stanislava (ASU-R) RID
Haindl, Michal (UTIA-B) RID, ORCID
Flusser, Jan (UTIA-B) RID, ORCIDNumber of authors 3 Source Title Mathematics and Astronomy: A joint Long Journey. - Melville : American Institute of Physics, 2010 / de Leon Manuel ; de Diego D.M. ; Ros R.M. - ISSN 0094-243X - ISBN 978-0-7354-0837-1 Pages s. 215-221 Number of pages 7 s. Publication form Print - P Action Mathematics and astronomy: A joint long journey Event date 23.11.2009-17.11.2009 VEvent location Madrid Country ES - Spain Event type WRD Language eng - English Country US - United States Keywords image processing algorithms ; image processing in astronomy ; robotic vision ; flow visualization ; signal processing in optics Subject RIV BD - Theory of Information R&D Projects GA102/08/1593 GA ČR - Czech Science Foundation (CSF) 1QS300120506 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10030501 - ASU-R (2005-2011) AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000287171000025 Annotation 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. Workplace Astronomical Institute Contact Radka Svašková, bibl@asu.cas.cz, Tel.: 323 620 326 Year of Publishing 2015
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