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Proceedings Paper

Performance evaluation of two retina-like preprocessors for imaging detector arrays
Author(s): Ronald G. Driggers; Dean A. Scribner; William R. Clayton
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Paper Abstract

This research presents the performance evaluation of two 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 Scribner et. al. at the Naval Research Laboratory for the purpose of chip-level non uniformity correction associated with InfraRed Focal Plane Arrays. 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 of fixed pattern noise. Finally, the processor is evaluated on its capacity to reduce temporal l/f noise. The performance of the preprocessors are compared and contrasted with a discussion of their advantages and disadvantages.

Paper Details

Date Published: 30 May 1995
PDF: 9 pages
Proc. SPIE 2474, Smart Focal Plane Arrays and Focal Plane Array Testing, (30 May 1995); doi: 10.1117/12.210571
Show Author Affiliations
Ronald G. Driggers, Naval Reserve Center/Memphis (United States)
Dean A. Scribner, Naval Research Lab. (United States)
William R. Clayton, Univ. of Memphis (United States)


Published in SPIE Proceedings Vol. 2474:
Smart Focal Plane Arrays and Focal Plane Array Testing
Marc Wigdor; Mark A. Massie, Editor(s)

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