Adaptive nonlinear L2 and L3 filters for speckled image processing

Vladimir V. Lukin; Vladimir P. Melnik; Victor I. Chemerovsky; Jaakko T. Astola

doi:10.1117/12.271139

4 April 1997 Adaptive nonlinear L2 and L3 filters for speckled image processing

Vladimir V. Lukin, Vladimir P. Melnik, Victor I. Chemerovsky, Jaakko T. Astola

Proceedings Volume 3026, Nonlinear Image Processing VIII; (1997) https://doi.org/10.1117/12.271139
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

Here we propose adaptive nonlinear filters based on calculation and analysis of two or three order statistics in a scanning window. They are designed for processing images corrupted by severe speckle noise with non-symmetrical. (Rayleigh or one-side exponential) distribution laws; impulsive noise can be also present. The proposed filtering algorithms provide trade-off between impulsive noise can be also present. The proposed filtering algorithms provide trade-off between efficient speckle noise suppression, robustness, good edge/detail preservation, low computational complexity, preservation of average level for homogeneous regions of images. Quantitative evaluations of the characteristics of the proposed filter are presented as well as the results of the application to real synthetic aperture radar and ultrasound medical images.

Citation Download Citation

Vladimir V. Lukin, Vladimir P. Melnik, Victor I. Chemerovsky, and Jaakko T. Astola "Adaptive nonlinear L2 and L3 filters for speckled image processing", Proc. SPIE 3026, Nonlinear Image Processing VIII, (4 April 1997); https://doi.org/10.1117/12.271139

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