Publication details

Mathematics improves astronomical image understanding

Conference Paper (international conference)

Šimberová Stanislava, Haindl Michal, Flusser Jan


serial: Mathematics and Astronomy: A joint Long Journey, p. 215-221 , Eds: de Leon Manuel, de Diego D.M., Ros R.M.

action: Mathematics and astronomy: A joint long journey, (Madrid, ES, 23.11.2009-17.11.2009)

research: CEZ:AV0Z10030501

research: CEZ:AV0Z10750506

project(s): GA102/08/1593, GA ČR, 1QS300120506, GA AV ČR, 1M0572, GA MŠk, 2C06019, GA MšK

keywords: image processing algorithms, image processing in astronomy, robotic vision, flow visualization, signal processing in optics

abstract (eng):

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.

RIV: BD