Online Blind Deconvolution for Astronomy
Stefan Harmeling, Suvrit Sra, M. Hirsch and Bernhard Schölkopf
In: ICCP 2009, San Francisco(2009).

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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