Use of homomorphic transforms in locally adaptive filtering of radar images

Vladimir V. Lukin; Vladimir P. Melnik; Victor I. Chemerovsky; Sari Peltonen; Pauli Kuosmanen

doi:10.1117/12.379391

3 March 2000 Use of homomorphic transforms in locally adaptive filtering of radar images

Vladimir V. Lukin, Vladimir P. Melnik, Victor I. Chemerovsky, Sari Peltonen, Pauli Kuosmanen

Proceedings Volume 3961, Nonlinear Image Processing XI; (2000) https://doi.org/10.1117/12.379391
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

A case of dominant multiplicative noise typical for radar images is considered. The filtering of such images corrupted by speckle, and possibly spikes, can be done both without and with the use of homomorphic transformations. The application of locally adaptive filtering is explored for both cases. It is shown that the use of homomorphic transformations is reasonable for solving some particular tasks, for example, better detection of small size objects with negative contrasts with respect to surrounding background and their preservation while processing the images. Other kinds of homomorphic filtering techniques can be useful for providing better noise suppression.

Citation Download Citation

Vladimir V. Lukin, Vladimir P. Melnik, Victor I. Chemerovsky, Sari Peltonen, and Pauli Kuosmanen "Use of homomorphic transforms in locally adaptive filtering of radar images", Proc. SPIE 3961, Nonlinear Image Processing XI, (3 March 2000); https://doi.org/10.1117/12.379391

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