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Proceedings Paper

Real-time analysis of small or low-contrast objects
Author(s): Stephen R. Yool; Kirk G. Smedley; David L. Van Vactor
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Paper Abstract

Multi-frame, multi-spectral image sequences can be exploited in real-time, giving analysts access to information on evolving strategic events or threats. Video-rate dynamic range adjustment subdues fluctuations in image intensity, thereby assisting discrimination of small or low-contrast objects. Contrast-regulated unsharp masking enhances differentially shadowed or otherwise low-contrast image regions. Real-time removal of localized hotspots may enhance resolution of adjacent objects. In image sequences contaminated by zero-mean noise, real-time frame averaging can assist resolution and location of small or low-contrast objects. Image sequences can be screened automatically for low-frequency, high-magnitude events.

Paper Details

Date Published: 25 August 1992
PDF: 7 pages
Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); doi: 10.1117/12.139367
Show Author Affiliations
Stephen R. Yool, Lockheed Palo Alto Research Lab. (United States)
Kirk G. Smedley, Lockheed Missiles & Space Co., Inc. (United States)
David L. Van Vactor, Lockheed Palo Alto Research Lab. (United States)

Published in SPIE Proceedings Vol. 1698:
Signal and Data Processing of Small Targets 1992
Oliver E. Drummond, Editor(s)

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