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Proceedings Paper

Fast PSF estimation under anisoplanatic conditions
Author(s): Francisco Molina-Martel; Roberto Baena-Gallé; Szymon Gladysz
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Paper Abstract

Correction of atmospheric turbulence effects on images involves mainly mitigation of distortion (“de-warping”) and removal of image blur. One of the approaches for correcting atmospheric blurring involves the use of deconvolution. The ill-posed nature of the problem and the number of unknowns makes this problem hard to solve. This is why methods like blind deconvolution can be too time-consuming for real-time application. Additionally, an optimal parameter input is also often required (which requires interaction from an operator). Our ultimate goal is to perform an autonomous, software-based turbulence correction in real-time. This requires both very fast point-spread function (PSF) estimation and a deconvolution method. In this work we study new efficient ways to describe and estimate the PSF in anisoplanatic conditions.

Paper Details

Date Published: 8 October 2015
PDF: 11 pages
Proc. SPIE 9641, Optics in Atmospheric Propagation and Adaptive Systems XVIII, 96410I (8 October 2015); doi: 10.1117/12.2194570
Show Author Affiliations
Francisco Molina-Martel, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Roberto Baena-Gallé, Univ. de Barcelona (Spain)
Szymon Gladysz, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)


Published in SPIE Proceedings Vol. 9641:
Optics in Atmospheric Propagation and Adaptive Systems XVIII
Karin U. Stein; John D. Gonglewski, Editor(s)

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