From patches to deep learning: combining self-similarity and neural networks for SAR image despeckling

L. Denis; Charles-Alban Deledalle; Florence Tupin

Conference papers

From patches to deep learning: combining self-similarity and neural networks for SAR image despeckling

L. Denis ¹ Charles-Alban Deledalle ² Florence Tupin ^{3, 4}

1 LHC - Laboratoire Hubert Curien [Saint Etienne]

2 IMB - Institut de Mathématiques de Bordeaux

3 IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse

LTCI - Laboratoire Traitement et Communication de l'Information

4 IDS - Département Images, Données, Signal

Document type :

Conference papers

Domain :

Computer Science [cs] / Image Processing [eess.IV]

Complete list of metadata

https://hal.telecom-paris.fr/hal-02412413
Contributor : TelecomParis HAL Connect in order to contact the contributor
Submitted on : Sunday, December 15, 2019 - 1:02:49 PM
Last modification on : Saturday, June 25, 2022 - 9:13:36 PM

From patches to deep learning: combining self-similarity and neural networks for SAR image despeckling

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From patches to deep learning: combining self-similarity and neural networks for SAR image despeckling

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