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Proceedings Paper

New nonlinear combined spatial-frequency domain filtering for noise reduction and image enhancement
Author(s): Igor N. Aizenberg; Naum N. Aizenberg; Taras Bregin
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Paper Abstract

A new approach to nonlinear filtering is considered in the paper. The key point of this approach is a combination of spatial and frequency domain filtering. The following filtering technique is proposed for noise reduction. On the first stage a noisy image has to be processed using some powerful nonlinear spatial-domain filter. Since the image will be smoothed after this operation, then its spectra has to be corrected. Taking into account that a major part of a noise is concentrated in the spectra amplitude, also as image smoothing involves a significant spectra amplitude distortion, a method for its correction is proposed. The same technique is also used for solving of the frequency correction (extraction of image details) problem.

Paper Details

Date Published: 8 May 2001
PDF: 11 pages
Proc. SPIE 4304, Nonlinear Image Processing and Pattern Analysis XII, (8 May 2001); doi: 10.1117/12.424977
Show Author Affiliations
Igor N. Aizenberg, Neural Networks Technologies, Ltd. (Israel)
Naum N. Aizenberg, Neural Networks Technologies, Ltd. (Israel)
Taras Bregin, Neural Networks Technologies, Ltd. (Israel)

Published in SPIE Proceedings Vol. 4304:
Nonlinear Image Processing and Pattern Analysis XII
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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