Estimation of noise variance of a multispectral image acquisition system

Noriyuki Shimano

doi:10.1117/12.641843

17 January 2006 Estimation of noise variance of a multispectral image acquisition system

Noriyuki Shimano

Proceedings Volume 6062, Spectral Imaging: Eighth International Symposium on Multispectral Color Science; 60620B (2006) https://doi.org/10.1117/12.641843
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

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.

Citation Download Citation

Noriyuki Shimano "Estimation of noise variance of a multispectral image acquisition system", Proc. SPIE 6062, Spectral Imaging: Eighth International Symposium on Multispectral Color Science, 60620B (17 January 2006); https://doi.org/10.1117/12.641843

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