Software-based mitigation of image degradation due to atmospheric turbulence

Claudia S. Huebner; Corinne Scheifling

doi:10.1117/12.864671

11 October 2010 Software-based mitigation of image degradation due to atmospheric turbulence

Proceedings Volume 7828, Optics in Atmospheric Propagation and Adaptive Systems XIII; 78280N (2010) https://doi.org/10.1117/12.864671
Event: SPIE Remote Sensing, 2010, Toulouse, France

Abstract

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.

Citation Download Citation

Claudia S. Huebner and Corinne Scheifling "Software-based mitigation of image degradation due to atmospheric turbulence", Proc. SPIE 7828, Optics in Atmospheric Propagation and Adaptive Systems XIII, 78280N (11 October 2010); https://doi.org/10.1117/12.864671

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