Removing impulse bursts from images by training-based soft morphological filtering

Pertti T. Koivisto; Jaakko T. Astola; Vladimir V. Lukin; Vladimir P. Melnik; Oleg V. Tsymbal

doi:10.1117/12.438272

28 August 2001 Removing impulse bursts from images by training-based soft morphological filtering

Pertti T. Koivisto, Jaakko T. Astola, Vladimir V. Lukin, Vladimir P. Melnik, Oleg V. Tsymbal

Proceedings Volume 4388, Visual Information Processing X; (2001) https://doi.org/10.1117/12.438272
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

The characteristics of impulse bursts in radar images are analyzed and a model for this noise is proposed. The model also takes into consideration the multiplicative noise present in radar images. As a case study, soft morphological filters utilizing a training-based optimization scheme are used for the noise removal. Different approaches for the training are discussed. It is shown that the methods used can provide an effective removal of impulse bursts. At the same time the multiplicative noise in images is also suppressed together with god edge and detail preservation. Numerical simulation results as well as examples of real radar images are presented.

Citation Download Citation

Pertti T. Koivisto, Jaakko T. Astola, Vladimir V. Lukin, Vladimir P. Melnik, and Oleg V. Tsymbal "Removing impulse bursts from images by training-based soft morphological filtering", Proc. SPIE 4388, Visual Information Processing X, (28 August 2001); https://doi.org/10.1117/12.438272

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