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Proceedings Paper

Biases in the estimation of 3D noise in thermal imagers
Author(s): Ze'ev Bomzon
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Paper Abstract

The three dimensional noise model (3D noise) is a widely used model for characterizing noise in thermal imaging system. In this model, a sequence of images of a uniform background are acquired, and organized in a three dimensional matrix. This matrix is then decomposed into eight orthogonal noise components that can be assessed individually to yield an understanding about the magnitude and source of noise in a given system. Here we show that the estimators used to assess 3D noise are biased statistical estimators, which can lead to systematic errors when measuring system noise using this model. We provide mathematical proof of the estimator bias and demonstrate the effect with Monte-Carlo simulations.

Paper Details

Date Published: 28 October 2010
PDF: 9 pages
Proc. SPIE 7834, Electro-Optical and Infrared Systems: Technology and Applications VII, 78340B (28 October 2010); doi: 10.1117/12.864848
Show Author Affiliations
Ze'ev Bomzon, CI Systems Ltd. (Israel)


Published in SPIE Proceedings Vol. 7834:
Electro-Optical and Infrared Systems: Technology and Applications VII
David A. Huckridge; Reinhard R. Ebert, Editor(s)

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