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Proceedings Paper

Shot noise suppression in image sensors
Author(s): Vladimir Brajovic
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Paper Abstract

Shot noise is fundamental to photon detection. In image sensors there is an opportunity for incorporating lateral processing for reduction of both shot noise and thermal noise. Based on the Bayesian argument, we derive a noise-smoothing model that suppresses noise while preserving image discontinuities due to scene structure. Further, we show a possible focal plane solver of this model using a compact electronic network. Simulated experimental results are presented and similarities with human vision are discussed.

Paper Details

Date Published: 15 July 2004
PDF: 5 pages
Proc. SPIE 5438, Visual Information Processing XIII, (15 July 2004); doi: 10.1117/12.542464
Show Author Affiliations
Vladimir Brajovic, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 5438:
Visual Information Processing XIII
Zia-ur Rahman; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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