Performance evaluation of two retina-like preprocessors for imaging detector arrays

Ronald Driggers, Dean A. Scribner, William Clayton

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


This research presents the performance evaluation oftwo retina-like preprocessors for imaging detector arrays. In particular the preprocessors are an adaptive neural network gain and level controller and a temporal high pass filter. These preprocessors were developed by Scnbner et. al. at the Naval Research Laboratory (NRL) for the purpose of chip-level non uniformity correction associated with InfraRed Focal Plane Arrays (IRFPA). Three performance evaluations are described. The first evaluation involves the determination of a spatio-temporal steady state transfer function (very similar to Modulation Transfer Function). The second involves the processor reduction offixed pattern noise. Finally, the processor is evaluated on its capacity to reduce temporal 1/fnoise. The performances of the preprocessors are compared and contrasted with a discussion oftheir advantages and disadvantages.

Original languageEnglish (US)
Pages (from-to)118-126
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - May 30 1995
Externally publishedYes
EventSmart Focal Plane Arrays and Focal Plane Array Testing 1995 - Orlando, United States
Duration: Apr 17 1995Apr 21 1995


  • Processors
  • Retina-like

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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