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Proceedings Paper

Image-Plane Processing Of Visual Information
Author(s): Friedrich O. Huck; Carl L. Fales; Stephen K. Park; Richard W. Samms
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Paper Abstract

Shannon's theory of information is used to optimize the optical design of sensor-array imaging systems which use neighborhood image-plane signal processing for enhancing edges and compressing dynamic range during image formation. The resultant edge-enhancement, or band-pass-filter, response is found to be very similar to that of human vision. Comparisons of traits in human vision with results from information theory suggest that: (1) Image-plane processing, like preprocessing in human vision, can improve visual information acquisition for pattern recognition when resolving power, sensitivity, and dynamic range are constrained. Improvements include reduced sensitivity to changes in light levels, reduced signal dynamic range, reduced data transmission and processing, and reduced aliasing and photosensor noise degradation. (2) Information content can be an appropriate figure of merit for optimizing the optical design of imaging systems when visual information is acquired for pattern recognition. The design trade-offs involve spatial response, sensitivity, and sampling interval.

Paper Details

Date Published: 14 June 1984
PDF: 10 pages
Proc. SPIE 0485, Applications of Artificial Intelligence I, (14 June 1984); doi: 10.1117/12.943189
Show Author Affiliations
Friedrich O. Huck, NASA Langley Research Center (United States)
Carl L. Fales, NASA Langley Research Center (United States)
Stephen K. Park, NASA Langley Research Center (United States)
Richard W. Samms, Information and Control Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 0485:
Applications of Artificial Intelligence I
John F. Gilmore, Editor(s)

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