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Proceedings Paper

Restoration of atmospherically blurred images using weather-predicted atmospheric Modulation Transfer Function (MFT)
Author(s): Yitzhak Yitzhaky; Itai Dror; Norman S. Kopeika
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Paper Abstract

Restoration for actual atmospherically blurred images is performed using a Wiener filter which corrects simultaneously for both turbulence and aerosol blur by enhancing the image spectrum primarily at those high frequencies least affected by the jitter or randomness in turbulence MTF. Correction is based upon predicted rather than measured atmospheric MTF. Both turbulence and aerosol MTFs are predicted using meteorological parameters measured with standard weather stations at the time and location where the image was recorded. A variety of weather conditions are considered. Past results have shown good correlation between measured and predicted atmospheric MTFs. Corrections are shown here for turbulence blur alone, for aerosol blur alone, and for both together. Since recorded images suffer frequently from poor contrast because of atmospheric path radiance, a simple image contrast improvement is also considered for the clarity of the atmospheric deblurring effect.

Paper Details

Date Published: 14 October 1996
PDF: 11 pages
Proc. SPIE 2828, Image Propagation through the Atmosphere, (14 October 1996); doi: 10.1117/12.254187
Show Author Affiliations
Yitzhak Yitzhaky, Ben-Gurion Univ. of the Negev (Israel)
Itai Dror, Ben-Gurion Univ. of the Negev (Israel)
Norman S. Kopeika, Ben-Gurion Univ. of the Negev (Israel)

Published in SPIE Proceedings Vol. 2828:
Image Propagation through the Atmosphere
Christopher Dainty; Luc R. Bissonnette, Editor(s)

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