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Proceedings Paper

Quantifying the improvement of turbulence mitigation technology
Author(s): Stephen Kozacik; Aaron Paolini; Ariel Sherman; James Bonnett; Eric Kelmelis
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Paper Abstract

Atmospheric turbulence degrades imagery by imparting scintillation and warping effects that can reduce the ability to identify key features of the subjects. While visually, a human can intuitively understand the improvement that turbulence mitigation techniques can offer in increasing visual information, this enhancement is rarely quantified in a meaningful way. In this paper, we discuss methods for measuring the potential improvement on system performance video enhancement algorithms can provide. To accomplish this, we explore two metrics. We use resolution targets to determine the difference between imagery degraded by turbulence and that improved by atmospheric correction techniques. By comparing line scans between the data before and after processing, it is possible to quantify the additional information extracted. Advanced processing of this data can provide information about the effective modulation transfer function (MTF) of the system when atmospheric effects are considered and removed, using this data we compute a second metric, the relative improvement in Strehl ratio.

Paper Details

Date Published: 4 May 2017
PDF: 9 pages
Proc. SPIE 10204, Long-Range Imaging II, 102040A (4 May 2017); doi: 10.1117/12.2263778
Show Author Affiliations
Stephen Kozacik, EM Photonics, Inc. (United States)
Univ. of Delaware (United States)
Aaron Paolini, EM Photonics, Inc. (United States)
Ariel Sherman, EM Photonics, Inc. (United States)
James Bonnett, EM Photonics, Inc. (United States)
Eric Kelmelis, EM Photonics, Inc. (United States)


Published in SPIE Proceedings Vol. 10204:
Long-Range Imaging II
Eric J. Kelmelis, Editor(s)

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