26 September 2013 Poisson noise removal with pyramidal multi-scale transforms
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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.
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Arnaud Woiselle, Jean-Luc Starck, Jalal M. Fadili, "Poisson noise removal with pyramidal multi-scale transforms", Proc. SPIE 8858, Wavelets and Sparsity XV, 88581D (26 September 2013); doi: 10.1117/12.2023315; https://doi.org/10.1117/12.2023315
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