Applications and properties of sigma and mean filters with adaptive window size

Nikolay N. Ponomarenko; Vladimir V. Lukin; Alexander A. Zelensky; Pertti T. Koivisto; Jaakko T. Astola

doi:10.1117/12.379402

3 March 2000 Applications and properties of sigma and mean filters with adaptive window size

Nikolay N. Ponomarenko, Vladimir V. Lukin, Alexander A. Zelensky, Pertti T. Koivisto, Jaakko T. Astola

Proceedings Volume 3961, Nonlinear Image Processing XI; (2000) https://doi.org/10.1117/12.379402
Event: Electronic Imaging, 2000, San Jose, CA, United States

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.

Citation Download Citation

Nikolay N. Ponomarenko, Vladimir V. Lukin, Alexander A. Zelensky, Pertti T. Koivisto, and Jaakko T. Astola "Applications and properties of sigma and mean filters with adaptive window size", Proc. SPIE 3961, Nonlinear Image Processing XI, (3 March 2000); https://doi.org/10.1117/12.379402

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