Image-Plane Processing Of Visual Information

Friedrich O. Huck; Carl L. Fales; Stephen K. Park; Richard W. Samms

doi:10.1117/12.943189

14 June 1984 Image-Plane Processing Of Visual Information

Friedrich O. Huck, Carl L. Fales, Stephen K. Park, Richard W. Samms

Proceedings Volume 0485, Applications of Artificial Intelligence I; (1984) https://doi.org/10.1117/12.943189
Event: 1984 Technical Symposium East, 1984, Arlington, United States

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.

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Friedrich O. Huck, Carl L. Fales, Stephen K. Park, and Richard W. Samms "Image-Plane Processing Of Visual Information", Proc. SPIE 0485, Applications of Artificial Intelligence I, (14 June 1984); https://doi.org/10.1117/12.943189

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