Speckle denoising through local Rényi entropy smoothing

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Abstract

Quality enhancement of radar images is highly related to speckle noise reduction. There are plenty of such techniques that have been developed by different authors. However, a definitive method has not been already attained. Filtering methods are popular to reduce speckle noise. This paper introduces a new method based on filtering a smoothed local pseudo-Wigner distribution using a local Rényi entropy measure. Results are compared to other well-known noise reduction filtering methods for artificially degraded speckle images and real world image examples. Experimental results confirm that this method outperforms other classical speckle denoising methods. © 2011 Springer-Verlag.

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APA

Gabarda, S., & Cristóbal, G. (2011). Speckle denoising through local Rényi entropy smoothing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6855 LNCS, pp. 340–347). https://doi.org/10.1007/978-3-642-23678-5_40

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