05 Nov 2020
05 Nov 2020
SPECKLE NOISE REDUCTION IN SAR IMAGES USING INFORMATION THEORY
D. Chan1, J. Gambini2, and A. C. Frery3
D. Chan et al.
D. Chan1, J. Gambini2, and A. C. Frery3
- 1Universidad Tecnológica Nacional, Facultad Regional Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
- 2Departamento de Ingeniería Informática, Instituto Tecnológico de Buenos Aires, Buenos Aires, Argentina and Depto. de Ingeniería en Computación, Universidad Nacional de Tres de Febrero, Pcia. de Buenos Aires, Argentina
- 3Laboratório de Computação Científica e Análise Numérica, Universidade Federal de Alagoas, Brazil
- 1Universidad Tecnológica Nacional, Facultad Regional Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
- 2Departamento de Ingeniería Informática, Instituto Tecnológico de Buenos Aires, Buenos Aires, Argentina and Depto. de Ingeniería en Computación, Universidad Nacional de Tres de Febrero, Pcia. de Buenos Aires, Argentina
- 3Laboratório de Computação Científica e Análise Numérica, Universidade Federal de Alagoas, Brazil
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Keywords: speckle filter, h-ϕ Entropies, asymptotic variance
In this work, a new nonlocal means filter for single-look speckled data using the Shannon and Rényi entropies is proposed. The measure of similarity between a central window and patches of the image is based on a statistical test for comparing if two samples have the same entropy and hence have the same distribution.
The results are encouraging, as the filtered image has better signal-to-noise ratio, it preserves the mean, and the edges are not severely blurred.