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Proceedings Paper

Estimation of noise variance of a multispectral image acquisition system
Author(s): Noriyuki Shimano
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Paper Abstract

The noise present in a color image acquisition system influences the accuracy of the estimated colorimetric values and the accuracy of the recovered spectral reflectances of objects being imaged through the use of sensor responses. Estimation of the noise levels in the devices is important for the accurate acquisition of colorimetric or spectral information. This work addresses the problem for the determination of noise variances in multispectral image acquisition systems. Several models for the determination are compared and experimental results to show the accuracy of the model proposed by the author are demonstrated. It is shown that the estimates by the proposal agree fairy well with the noise variance which minimizes the mean square errors (MSE) of the recovered spectral reflectances by the use of the Wiener filter.

Paper Details

Date Published: 17 January 2006
PDF: 8 pages
Proc. SPIE 6062, Spectral Imaging: Eighth International Symposium on Multispectral Color Science, 60620B (17 January 2006); doi: 10.1117/12.641843
Show Author Affiliations
Noriyuki Shimano, Kinki Univ. (Japan)


Published in SPIE Proceedings Vol. 6062:
Spectral Imaging: Eighth International Symposium on Multispectral Color Science
Mitchell R. Rosen; Francisco H. Imai; Shoji Tominaga, Editor(s)

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