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Proceedings Paper

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

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.

Paper Details

Date Published: 31 May 2013
PDF: 12 pages
Proc. SPIE 8720, Photonic Applications for Aerospace, Commercial, and Harsh Environments IV, 872006 (31 May 2013); doi: 10.1117/12.2015710
Show Author Affiliations
Carlos Rios, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Germany)
Szymon Gladysz, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Germany)


Published in SPIE Proceedings Vol. 8720:
Photonic Applications for Aerospace, Commercial, and Harsh Environments IV
Alex A. Kazemi; Bernard C. Kress; Simon Thibault, Editor(s)

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