Restoration of multitemporal short-exposure astronomical images

  • Authors:
  • Michal Haindl;Stanislava Šimberová

  • Affiliations:
  • Institute of Information Theory and Automation, Academy of Sciences CR, Prague, Czech Republic;Astronomical Institute Academy of Sciences CR, Ondřejov, Czech Republic

  • Venue:
  • SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
  • Year:
  • 2005

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Abstract

A multitemporal fast adaptive recursive restoration method based on the underlying spatial probabilistic image model is presented. The method assumes linear degradation model with the unknown possibly non-homogeneous point-spread function and additive noise. Pixels in the vicinity of image steep discontinuities are left unrestored to minimize restoration blurring effect. The method is applied for astronomical sunspot image restoration, where for every ideal undegraded unobservable image several degraded observed images are available.