Paper
6 June 1995 Quantitative evaluation of target acquisition capability when restoring images blurred by sensor motion
Author Affiliations +
Proceedings Volume 2426, 9th Meeting on Optical Engineering in Israel; (1995) https://doi.org/10.1117/12.211174
Event: Optical Engineering in Israel: 9th Meeting, 1994, Tel-Aviv, Israel
Abstract
Image blurring due to sensor motion can often be the limiting factor in the resolution of the picture and, hence, on our ability to detect targets. In a recent paper, we've proposed a method for the restoration of such images; good results have been obtained. In this paper we propose to quantitatively evaluate the effect of such a restoration process on automatic target acquisition. A method is derived to determine the probability of detection for targets which have been blurred by sensor motion. This method is then applied to restored and non-corrected pictures. The degree to which such real-time restoration is worthwhile is discussed.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ofer Hadar, Norman S. Kopeika, and Stanley R. Rotman "Quantitative evaluation of target acquisition capability when restoring images blurred by sensor motion", Proc. SPIE 2426, 9th Meeting on Optical Engineering in Israel, (6 June 1995); https://doi.org/10.1117/12.211174
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Spatial frequencies

Target acquisition

Modulation transfer functions

Signal to noise ratio

Imaging systems

Target detection

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