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Proceedings Paper

Spatially variant PSF modeling and image deblurring
Author(s): Éric Thiébaut; Loïc Denis; Ferréol Soulez; Rahul Mourya
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Paper Abstract

Most current imaging instruments have a spatially variant point spread function (PSF). An optimal exploitation of these instruments requires to account for this non-stationarity. We review existing models of spatially variant PSF with an emphasis on those which are not only accurate but also fast because getting rid of non-stationary blur can only be done by iterative methods.

Paper Details

Date Published: 27 July 2016
PDF: 10 pages
Proc. SPIE 9909, Adaptive Optics Systems V, 99097N (27 July 2016); doi: 10.1117/12.2233647
Show Author Affiliations
Éric Thiébaut, Univ. Lyon, Univ. Lyon 1, ENS de Lyon, CNRS, Ctr. de Recherche Astrophysique de Lyon (France)
Loïc Denis, Univ. Lyon, UJM-Saint-Étienne, CNRS, Institut d'Optique Graduate School, Lab. Hubert Curien (France)
Ferréol Soulez, Univ. Lyon, Univ. Lyon 1, ENS de Lyon, CNRS, Ctr. de Recherche Astrophysique de Lyon (France)
École Polytechnique Fédérale de Lausanne (Switzerland)
Rahul Mourya, Univ. Lyon, UJM-Saint-Étienne, CNRS, Institut d'Optique Graduate School, Lab. Hubert Curien (France)


Published in SPIE Proceedings Vol. 9909:
Adaptive Optics Systems V
Enrico Marchetti; Laird M. Close; Jean-Pierre Véran, Editor(s)

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