Speckle Noise Reduction In Sar Images Using Information Theory

Débora Chan, Juliana Gambini, Alejandro C. Frery · 2020

In this work, a new nonlocal means filter for single-look speckled data using the Shannon and Renyi 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.

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