Real-time analysis of small or low-contrast objects

Stephen R. Yool, Kirk G. Smedley, David Van Vactor

Research output: Contribution to journalConference articlepeer-review


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 by screened automatically for low-frequency, high-magnitude events.

Original languageEnglish (US)
Pages (from-to)124-130
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Aug 25 1992
Externally publishedYes
EventSignal and Data Processing of Small Targets 1992 - Orlando, United States
Duration: Apr 20 1992 → …

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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