Paper
23 December 2002 Super-resolution in image restoration of wide area images viewed through atmospheric turbulence
Andrew J. Lambert, Donald Fraser, M. Reza Sayyah Jahromi, Bobby R. Hunt
Author Affiliations +
Abstract
We postulate that under anisoplanatic imaging conditions involving imaging through turbulent media over a wide-area there exists the possibility of spatial frequency content that is normally lost outside the aperture of an imaging instrument under unperturbed viewing conditions, being aliased into the aperture. Simulation is presented that reinforces this premise. We apply restoration algorithms that were designed to correct non-uniform distortions, to a real image sequence to the effect of noticing the de-aliased super-frequency content. We claim this to be super-resolution, and that it is only possible under anisoplanatic imaging scenarios, where the point spread function of the image is position dependent as a result of the atmospheric turbulence.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew J. Lambert, Donald Fraser, M. Reza Sayyah Jahromi, and Bobby R. Hunt "Super-resolution in image restoration of wide area images viewed through atmospheric turbulence", Proc. SPIE 4792, Image Reconstruction from Incomplete Data II, (23 December 2002); https://doi.org/10.1117/12.451787
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Cited by 8 scholarly publications.
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KEYWORDS
Prototyping

Spatial frequencies

Super resolution

Atmospheric propagation

Fourier transforms

Point spread functions

Surveillance

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