Share Email Print

Proceedings Paper

Video enhancement workbench: an operational real-time video image processing system
Author(s): Stephen R. Yool; David L. Van Vactor; Kirk G. Smedley
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Video image sequences can be exploited in real-time, giving analysts rapid access to information for military or criminal investigations. 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, when combined with automatic histogram equalization, may enhance resolution of objects directly adjacent. In video imagery corrupted by zero-mean noise, real-time frame averaging can assist resolution and location of small or low-contrast objects. To maximize analyst efficiency, lengthy video sequences can by screened automatically for low-frequency, high-magnitude events. Combined zoom, roam and automatic dynamic range adjustment permit rapid analysis of facial features captured by video cameras recording crimes in progress. When trying to resolve small objects in murky seawater, stereo video places the moving imagery in an optimal setting for human interpretation.

Paper Details

Date Published: 12 January 1993
PDF: 7 pages
Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); doi: 10.1117/12.139051
Show Author Affiliations
Stephen R. Yool, Lockheed Palo Alto Research Lab. (United States)
David L. Van Vactor, Lockheed Palo Alto Research Lab. (United States)
Kirk G. Smedley, Lockheed Missiles & Space Co., Inc. (United States)

Published in SPIE Proceedings Vol. 1771:
Applications of Digital Image Processing XV
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top