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Proceedings Paper

Network compensation for missing sensors
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Paper Abstract

A network learning algorithm is presented that computes interpolation functions that can compensate for weakened, jittered, or missing elements of a sensor array. The algorithm corrects errors in translation invariance, so prior knowledge of the input images is not required.

Paper Details

Date Published: 1 June 1991
PDF: 13 pages
Proc. SPIE 1453, Human Vision, Visual Processing, and Digital Display II, (1 June 1991); doi: 10.1117/12.44350
Show Author Affiliations
Albert J. Ahumada, NASA/Ames Research Ctr. (United States)
Jeffrey B. Mulligan, NASA/Ames Research Ctr. (United States)

Published in SPIE Proceedings Vol. 1453:
Human Vision, Visual Processing, and Digital Display II
Bernice E. Rogowitz; Michael H. Brill; Jan P. Allebach, Editor(s)

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