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No-reference image quality assessment for horizontal-path imaging scenarios

: Rios, Carlos; Gladysz, Szymon


Kazemi, A.A. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Photonic applications for aerospace, commercial, and harsh environments IV : 29 April - 1 May 2013, Baltimore, Maryland, United States
Bellingham, WA: SPIE, 2013 (Proceedings of SPIE 8720)
ISBN: 978-0-8194-9511-2
Paper 872006
Conference "Photonic Applications for Aerospace, Commercial, and Harsh Environments" <4, 2013, Baltimore/Md.>
Conference Paper
Fraunhofer IOSB ()
image quality metrics; imaging through turbulence

There exist several image-enhancement algorithms and tasks associated with imaging through turbulence that depend on defining the quality of an image. Examples include: "lucky imaging", choosing the width of the inverse filter for image reconstruction, or stopping iterative deconvolution. We collected a number of image quality metrics found in the literature. Particularly interesting are the blind, "no-reference" metrics. We discuss ways of evaluating the usefulness of these metrics, even when a fully objective comparison is impossible because of the lack of a reference image. Metrics are tested on simulated and real data. Field data comes from experiments performed by the NATO SET 165 research group over a 7 km distance in Dayton, Ohio.