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Proceedings Paper

Removing impulse bursts from images by training-based soft morphological filtering
Author(s): Pertti T. Koivisto; Jaakko T. Astola; Vladimir V. Lukin; Vladimir P. Melnik; Oleg V. Tsymbal
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Paper Abstract

The characteristics of impulse bursts in radar images are analyzed and a model for this noise is proposed. The model also takes into consideration the multiplicative noise present in radar images. As a case study, soft morphological filters utilizing a training-based optimization scheme are used for the noise removal. Different approaches for the training are discussed. It is shown that the methods used can provide an effective removal of impulse bursts. At the same time the multiplicative noise in images is also suppressed together with god edge and detail preservation. Numerical simulation results as well as examples of real radar images are presented.

Paper Details

Date Published: 28 August 2001
PDF: 12 pages
Proc. SPIE 4388, Visual Information Processing X, (28 August 2001); doi: 10.1117/12.438272
Show Author Affiliations
Pertti T. Koivisto, Tampere Univ. of Technology (Finland)
Jaakko T. Astola, Tampere Univ. of Technology (Finland)
Vladimir V. Lukin, National Aerospace Univ. (Ukraine)
Vladimir P. Melnik, Tampere Univ. of Technology (Finland)
Oleg V. Tsymbal, National Aerospace Univ. (Ukraine)


Published in SPIE Proceedings Vol. 4388:
Visual Information Processing X
Stephen K. Park; Zia-ur Rahman; Robert A. Schowengerdt, Editor(s)

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