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  Online blind deconvolution for astronomical imaging

Harmeling, S., Hirsch, M., Sra, S., & Schölkopf, B. (2009). Online blind deconvolution for astronomical imaging. In 2009 IEEE International Conference on Computational Photography (ICCP) (pp. 1-7). Piscataway, NJ, USA: IEEE.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C549-C Version Permalink: http://hdl.handle.net/21.11116/0000-0002-FE59-D
Genre: Conference Paper

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 Creators:
Harmeling, S1, 2, Author              
Hirsch, M1, 2, Author              
Sra, S1, 2, Author              
Schölkopf, B1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Atmospheric turbulences blur astronomical images taken by earth-based telescopes. Taking many short-time exposures in such a situation provides noisy images of the same object, where each noisy image has a different blur. Commonly astronomers apply a technique called “Lucky Imaging” that selects a few of the recorded frames that fulfill certain criteria, such as reaching a certain peak intensity (“Strehl ratio”). The selected frames are then averaged to obtain a better image. In this paper we introduce and analyze a new method that exploits all the frames and generates an improved image in an online fashion. Our initial experiments with controlled artificial data and real-world astronomical datasets yields promising results.

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 Dates: 2009-04
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: DOI: 10.1109/ICCPHOT.2009.5559014
BibTex Citekey: 5649
 Degree: -

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Title: First IEEE International Conference Computational Photography (ICCP 2009)
Place of Event: San Francisco, CA, USA
Start-/End Date: 2009-04-16 - 2009-04-17

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Title: 2009 IEEE International Conference on Computational Photography (ICCP)
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 7 Identifier: ISBN: 978-1-4244-4534-9