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Title: GPU-Accelerated Denoising in 3D (GD3D)

The raw computational power GPU Accelerators enables fast denoising of 3D MR images using bilateral filtering, anisotropic diffusion, and non-local means. This software addresses two facets of this promising application: what tuning is necessary to achieve optimal performance on a modern GPU? And what parameters yield the best denoising results in practice? To answer the first question, the software performs an autotuning step to empirically determine optimal memory blocking on the GPU. To answer the second, it performs a sweep of algorithm parameters to determine the combination that best reduces the mean squared error relative to a noiseless reference image.
Publication Date:
OSTI Identifier:
Report Number(s):
GD3D; 003179MLTPL00
R&D Project: KJ0402000; 2014-002
DOE Contract Number:
Resource Type:
Software Revision:
Software Package Number:
Software Package Contents:
Open Source Software package available from Lawrence Berkeley National Laboratory at the following URL:
Software CPU:
Open Source:
Source Code Available:
Research Org:
Lawrence Berkeley National Laboratory
Sponsoring Org:
Contributing Orgs:
Mark Howison, E. Wes Bethehl
Country of Publication:
United States

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