Paper
1 September 2006 Turbulence strength estimation and super-resolution from an arbitrary set of atmospherically degraded images
Steve Zamek, Yitzhak Yitzhaky
Author Affiliations +
Abstract
In remote sensing, atmospheric turbulence and aerosols limit the image quality. For many practical cases turbulence is shown to be dominant, especially for horizontal close-to-earth imaging in hot environments. In a horizontal long-range imaging it is usually impractical to measure path-averaged refractive index structure constant Cn2 (which characterizes the turbulence strength) with conventional equipment. In this paper we propose a method for estimation of Cn2 based just on the available recorded turbulence-degraded image sequence. The method exploits the turbulence-induced image "dancing". Cn2 is extracted from the estimated image shifts variance. Experimental comparison with Cn2 measurements using a scintillometer shows reliable estimation results. We also estimate image motion with sub-pixel accuracy for the purpose of obtaining a high-resolution image by applying a simple super-resolution procedure. Results of super-resolution for real imagery are presented.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steve Zamek and Yitzhak Yitzhaky "Turbulence strength estimation and super-resolution from an arbitrary set of atmospherically degraded images", Proc. SPIE 6303, Atmospheric Optical Modeling, Measurement, and Simulation II, 630303 (1 September 2006); https://doi.org/10.1117/12.680407
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Cited by 1 scholarly publication.
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KEYWORDS
Turbulence

Super resolution

Motion estimation

Atmospheric turbulence

Image analysis

Atmospheric propagation

Cameras

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