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Proceedings Paper

Local transform-based denoising for radar image processing
Author(s): Karen O. Egiazarian; Vladimir P. Melnik; Vladimir V. Lukin; Jaakko T. Astola
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Paper Abstract

We consider the problems of speckle removal in radar images. The proposed filtering techniques make use of local DCT denoising based on adaptive thresholding or homomorphic transformation. Two-stage DT denoising procedure in combination with local statistic filtering are also introduced and analyzed. The effectiveness of the proposed speckle removal algorithms is demonstrated by means of numerical simulations.

Paper Details

Date Published: 8 May 2001
PDF: 9 pages
Proc. SPIE 4304, Nonlinear Image Processing and Pattern Analysis XII, (8 May 2001); doi: 10.1117/12.424972
Show Author Affiliations
Karen O. Egiazarian, Tampere Univ. of Technology (Finland)
Vladimir P. Melnik, Tampere Univ. of Technology (Finland)
Vladimir V. Lukin, National Aerospace Univ. (Ukraine)
Jaakko T. Astola, Tampere Univ. of Technology (Finland)


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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