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Proceedings Paper

Blind evaluation of noise variance in images using myriad operation
Author(s): Sergey Abramov; Vladimir V. Lukin; Alexander A. Zelensky; Jaakko T. Astola
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Paper Abstract

A typical problem in image processing is to evaluate the noise characteristics of an image at hand. It is often desirable to perform this operation automatically with appropriate accuracy, i.e. without errors due to user's subjective views. The proposed method is based on myriad operation at the final stage of the sequence of the traditional steps performed in blind evaluation of noise variance. Using it the accuracy of blind evaluation of noise variance can be considerably improved if the parameters of myriad operation are adjusted correctly. Recommendations concerning this adjustment are given. The proposed method is verified for both artificial and real images.

Paper Details

Date Published: 22 May 2002
PDF: 12 pages
Proc. SPIE 4667, Image Processing: Algorithms and Systems, (22 May 2002); doi: 10.1117/12.467981
Show Author Affiliations
Sergey Abramov, National Aerospace Univ. (Ukraine)
Vladimir V. Lukin, National Aerospace Univ. (Ukraine)
Alexander A. Zelensky, National Aerospace Univ. (Ukraine)
Jaakko T. Astola, Tampere Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 4667:
Image Processing: Algorithms and Systems
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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