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Proceedings Paper

Relative effects of blur and noise on target acquisition: the advisability of image restoration
Author(s): Roni Succary; N. Corse; Ofer Hadar; Stanley R. Rotman; Norman S. Kopeika
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Paper Abstract

Any image acquired by optical, electro-optical or electronic means is likely to be degraded by the environment. The resolution of the acquired image depends on the total MTF (Modulation Transfer Function) of the system and the additive noise. Image restoration techniques can improve image resolution significantly; however, as the noise increases, improvements via image processing become more limited because image restoration increases the noise level of the image. The purpose of this research is to check and characterize the MTF and noise level influences on target acquisition probability by a human observer, i.e., checking the worthwhileness of the restoration. The immediate quantity that was measured is not the probability of detection, but rather the number of targets of different sizes and degradation recognized in each scene. Conditions when restoration is advisable are determined. Further research will include real-world target recognition probability.

Paper Details

Date Published: 21 November 1997
PDF: 10 pages
Proc. SPIE 3128, Airborne Reconnaissance XXI, (21 November 1997); doi: 10.1117/12.283921
Show Author Affiliations
Roni Succary, Ben-Gurion Univ. of the Negev (Israel)
N. Corse, Ben-Gurion Univ. of the Negev (Israel)
Ofer Hadar, Ben-Gurion Univ. of the Negev (Israel)
Stanley R. Rotman, Ben-Gurion Univ. of the Negev (Israel)
Norman S. Kopeika, Ben-Gurion Univ. of the Negev (Israel)


Published in SPIE Proceedings Vol. 3128:
Airborne Reconnaissance XXI
Wallace G. Fishell, Editor(s)

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