Paper
12 January 1993 Video enhancement workbench: an operational real-time video image processing system
Stephen R. Yool, David L. Van Vactor, Kirk G. Smedley
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen R. Yool, David L. Van Vactor, and Kirk G. Smedley "Video enhancement workbench: an operational real-time video image processing system", Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); https://doi.org/10.1117/12.139051
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KEYWORDS
Video

Image enhancement

Video processing

Cameras

Image processing

Sun

Video surveillance

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