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4 May 2017Quantifying the improvement of turbulence mitigation technology
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.
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Stephen Kozacik, Aaron Paolini, Ariel Sherman, James Bonnett, Eric Kelmelis, "Quantifying the improvement of turbulence mitigation technology," Proc. SPIE 10204, Long-Range Imaging II, 102040A (4 May 2017); https://doi.org/10.1117/12.2263778