26 September 2013 Poisson noise removal with pyramidal multi-scale transforms
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arnaud Woiselle, Arnaud Woiselle, Jean-Luc Starck, Jean-Luc Starck, Jalal M. Fadili, 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


3D inpainting using sparse representations
Proceedings of SPIE (September 04 2009)
Optimal wavelet denoising for smart biomonitor systems
Proceedings of SPIE (March 15 2001)
Fast approximate Fourier transform via wavelets transform
Proceedings of SPIE (October 22 1996)
Wavelet-based signal processing and optics
Proceedings of SPIE (January 20 1994)

Back to Top