Share Email Print
cover

Proceedings Paper

Applications and properties of sigma and mean filters with adaptive window size
Author(s): Nikolay N. Ponomarenko; Vladimir V. Lukin; Alexander A. Zelensky; Pertti T. Koivisto; Jaakko T. Astola
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The sigma and mean filters with adaptive window size are proposed. The sigma filter with adaptive window size is intended for processing radar images with multiplicative noise and the main goal in its design is to improve the noise suppression effectiveness for homogeneous regions of images. The mean filter with adaptive window size can be applied for relief recovery when one initially has the isogram map and its primary approximation by constant level regions. The performance of the proposed filters is tested for simulated images and then analyzed for real data.

Paper Details

Date Published: 3 March 2000
PDF: 12 pages
Proc. SPIE 3961, Nonlinear Image Processing XI, (3 March 2000); doi: 10.1117/12.379402
Show Author Affiliations
Nikolay N. Ponomarenko, Kharkov Aviation Institute (Ukraine)
Vladimir V. Lukin, Kharkov Aviation Institute (Ukraine)
Alexander A. Zelensky, Kharkov Aviation Institute (Ukraine)
Pertti T. Koivisto, Tampere Univ. of Technology (Finland)
Jaakko T. Astola, Tampere Univ. of Technology (Finland)


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

© SPIE. Terms of Use
Back to Top