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Software-based mitigation of image degradation due to atmospheric turbulence

: Huebner, C.S.; Scheifling, C.


Stein, K. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Europe, Cardiff:
Optics in Atmospheric Propagation and Adaptive Systems XIII : Toulouse, France, 20-21 September 2010
Bellingham, WA: SPIE, 2010 (Proceedings of SPIE 7828)
ISBN: 978-0-8194-8345-4
Paper 78280N
Conference "Optics in Atmospheric Propagation and Adaptive Systems" <13, 2010, Toulouse>
Conference Paper
Fraunhofer IOSB ()
turbulence mitigation; image restoration; atmospheric turbulence; motion compensated averaging; block matching; blind deconvolution

Motion-Compensated Averaging (MCA) with blind deconvolution has proven successful in mitigating turbulence effects like image dancing and blurring. In this paper an image quality control according to the "Lucky Imaging" principle is combined with the MCA-procedure, weighting good frames more heavily than bad ones, skipping a given percentage of extremely degraded frames entirely. To account for local isoplanatism, when image dancing will effect local displacements between consecutive frames rather than global shifts only, a locally operating MCA variant with block matching, proposed in earlier work, is employed. In order to reduce loss of detail due to normal averaging, various combinations of temporal mode, median and mean are tested as reference image. The respective restoration results by means of a weighted blind deconvolution algorithm are presented and evaluated.