Local transform-based denoising for radar image processing

Karen O. Egiazarian; Vladimir P. Melnik; Vladimir V. Lukin; Jaakko T. Astola

doi:10.1117/12.424972

8 May 2001 Local transform-based denoising for radar image processing

Karen O. Egiazarian, Vladimir P. Melnik, Vladimir V. Lukin, Jaakko T. Astola

Author Affiliations +

Proceedings Volume 4304, Nonlinear Image Processing and Pattern Analysis XII; (2001) https://doi.org/10.1117/12.424972
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

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.

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Karen O. Egiazarian, Karen O. Egiazarian, Vladimir P. Melnik, Vladimir P. Melnik, Vladimir V. Lukin, Vladimir V. Lukin, Jaakko T. Astola, Jaakko T. Astola, "Local transform-based denoising for radar image processing", Proc. SPIE 4304, Nonlinear Image Processing and Pattern Analysis XII, (8 May 2001); doi: 10.1117/12.424972; https://doi.org/10.1117/12.424972

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