Established in 2005 under support of MŠMT ČR (project 1M0572)

Publications

Mathematics improves astronomical image understanding

Typ:
Conference paper
Authors:
Šimberová S., Haindl M., Flusser J.
Proceedings name:
Mathematics and Astronomy: A joint Long Journey
Publisher:
American Institute of Physics
Serie:
Melville
Year:
2010
ISBN:
978-0-7354-0837-1
ISSN:
0094-243X
Keywords:
image processing algorithms, image processing in astronomy,
Anotation:
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.
 
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