Header logo is ei

Online blind deconvolution for astronomical imaging


Conference Paper


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.

Author(s): Harmeling, S. and Hirsch, M. and Sra, S. and Schölkopf, B.
Journal: Proceedings of the First IEEE International Conference Computational Photography (ICCP 2009)
Pages: 1-7
Year: 2009
Month: April
Day: 0
Publisher: IEEE

Department(s): Empirical Inference
Bibtex Type: Conference Paper (inproceedings)

DOI: 10.1109/ICCPHOT.2009.5559014
Event Name: First IEEE International Conference on Computational Photography (ICCP 2009)
Event Place: San Francisco, CA, USA

Address: Piscataway, NJ, USA
Digital: 0
ISBN: 978-1-4244-4534-9
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: PDF


  title = {Online blind deconvolution for astronomical imaging},
  author = {Harmeling, S. and Hirsch, M. and Sra, S. and Sch{\"o}lkopf, B.},
  journal = {Proceedings of the First IEEE International Conference Computational Photography (ICCP 2009)},
  pages = {1-7},
  publisher = {IEEE},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  address = {Piscataway, NJ, USA},
  month = apr,
  year = {2009},
  month_numeric = {4}