Poisson noise removal with pyramidal multi-scale transforms

Arnaud Woiselle; Jean-Luc Starck; Jalal M. Fadili

doi:10.1117/12.2023315

26 September 2013 Poisson noise removal with pyramidal multi-scale transforms

Arnaud Woiselle, Jean-Luc Starck, Jalal M. Fadili

Proceedings Volume 8858, Wavelets and Sparsity XV; 88581D (2013) https://doi.org/10.1117/12.2023315
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

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.

Citation Download Citation

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

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