Share Email Print
cover

Proceedings Paper

Software-based mitigation of image degradation due to atmospheric turbulence
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 11 October 2010
PDF: 12 pages
Proc. SPIE 7828, Optics in Atmospheric Propagation and Adaptive Systems XIII, 78280N (11 October 2010); doi: 10.1117/12.864671
Show Author Affiliations
Claudia S. Huebner, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Corinne Scheifling, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)


Published in SPIE Proceedings Vol. 7828:
Optics in Atmospheric Propagation and Adaptive Systems XIII
Karin Stein; John D. Gonglewski, Editor(s)

© SPIE. Terms of Use
Back to Top