Open AccessSpatial stabilization of deep-turbulence-induced anisoplanatic blur
Author(s) -
Richard G. Paxman,
Timothy J. Rogne,
Brett A. Sickmiller,
Daniel A. LeMaster,
Jason J. Miller,
Candice G. Vollweiler
Publication year - 2016
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.029109
Subject(s) - point spread function , decorrelation , optics , turbulence , atmospheric turbulence , physics , image restoration , optical transfer function , image processing , spatial frequency , computer science , artificial intelligence , computer vision , image (mathematics) , thermodynamics
We explore the feasibility of post-detection restoration when imaging through deep turbulence characterized by extreme anisoplanatism. A wave-optics code was used to simulate relevant short-exposure point spread functions (PSFs) and their decorrelation as a function of point-source separation was computed. In addition, short-exposure images of minimally extended objects were simulated and shown to retain a central lobe that is clearly narrower than the long-exposure counterpart. This suggests that short-exposure image data are more informative than long-exposure data, even in the presence of extreme anisoplanatism. The implications of these findings for image restoration from a sequence of short-exposure images are discussed.