Online blind deconvolution for astronomical imaging

Stefan Harmeling, Michael Hirsch, Suvrit Sra, Berhard Schölkopf

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

30 Scopus citations

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 "Luck Imaging" that selects a few of the recorded frames that ful-fill 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.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Computational Photography, ICCP 09
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE International Conference on Computational Photography, ICCP 09 - San Francisco, CA, United States
Duration: 16 Apr 201017 Apr 2010

Publication series

Name2009 IEEE International Conference on Computational Photography, ICCP 09

Conference

Conference2009 IEEE International Conference on Computational Photography, ICCP 09
Country/TerritoryUnited States
CitySan Francisco, CA
Period16/04/1017/04/10

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