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Proceedings Paper

Poisson noise removal with pyramidal multi-scale transforms
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Paper Abstract

In this paper, we introduce a method to stabilize the variance of decimated transforms using one or two variance stabilizing transforms (VST). These VSTs are applied to the 3-D Meyer wavelet pyramidal transform which is the core of the first generation 3D curvelets. This allows us to extend these 3-D curvelets to handle Poisson noise, that we apply to the denoising of a simulated cosmological volume.

Paper Details

Date Published: 26 September 2013
PDF: 8 pages
Proc. SPIE 8858, Wavelets and Sparsity XV, 88581D (26 September 2013); doi: 10.1117/12.2023315
Show Author Affiliations
Arnaud Woiselle, Sagem SA (France)
Jean-Luc Starck, Lab. AIM, CNRS, CEA (France)
Jalal M. Fadili, Ecole Nationale Supérieure d'Ingenieurs de Caen et Ctr. de Recherche (France)

Published in SPIE Proceedings Vol. 8858:
Wavelets and Sparsity XV
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)

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