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Proceedings Paper

Use of homomorphic transforms in locally adaptive filtering of radar images
Author(s): Vladimir V. Lukin; Vladimir P. Melnik; Victor I. Chemerovsky; Sari Peltonen; Pauli Kuosmanen
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Paper Abstract

A case of dominant multiplicative noise typical for radar images is considered. The filtering of such images corrupted by speckle, and possibly spikes, can be done both without and with the use of homomorphic transformations. The application of locally adaptive filtering is explored for both cases. It is shown that the use of homomorphic transformations is reasonable for solving some particular tasks, for example, better detection of small size objects with negative contrasts with respect to surrounding background and their preservation while processing the images. Other kinds of homomorphic filtering techniques can be useful for providing better noise suppression.

Paper Details

Date Published: 3 March 2000
PDF: 12 pages
Proc. SPIE 3961, Nonlinear Image Processing XI, (3 March 2000); doi: 10.1117/12.379391
Show Author Affiliations
Vladimir V. Lukin, State Aerospace Univ. (Ukraine)
Vladimir P. Melnik, Tampere Univ. of Technology (Finland)
Victor I. Chemerovsky, State Aerospace Univ. (Ukraine)
Sari Peltonen, Tampere Univ. of Technology (Finland)
Pauli Kuosmanen, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 3961:
Nonlinear Image Processing XI
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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