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Proceedings Paper

Numerical calculation of image motion and vibration modulation transfer function
Author(s): Ofer Hadar; Moshe Fisher; Norman S. Kopeika
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Paper Abstract

In many high-resolution photographic and photoelectronic imaging systems, resolution is limited by image motion and vibration and, as a result, the high-resolution capability of the sensor may be wasted. In normal reconnaissance and robotics the sensor moves during the exposure. Some of the resulting image motion can be removed by mechanical compensation, but not all of it. The residual motion blurs the image, and usually this blur becomes the limiting factor for many high-quality imaging systems. The ever-increasing altitudes and coverage requirements of modern imaging have put a premium on high resolution. An application of this paper is the recovery of the original image by inverse filtering that depends on the modulation transfer function (MTF) of the real-time relative motion between the object and the imaging system. An original method developed here for numerically calculating MTF for any type of image motion is the basis of the paper.

Paper Details

Date Published: 1 August 1991
PDF: 13 pages
Proc. SPIE 1482, Acquisition, Tracking, and Pointing V, (1 August 1991); doi: 10.1117/12.45718
Show Author Affiliations
Ofer Hadar, Ben-Gurion Univ. of the Negev (Israel)
Moshe Fisher, Ben-Gurion Univ. of the Negev (Israel)
Norman S. Kopeika, Ben-Gurion Univ. of the Negev (Israel)

Published in SPIE Proceedings Vol. 1482:
Acquisition, Tracking, and Pointing V
Michael K. Masten; Larry A. Stockum, Editor(s)

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