3D Non-Local Means denoising via multi-GPU
Inst. of Biostructures and Bioimaging, National Research Council of Italy, Via De Amicis 95, 80145 Naples, Italy
Federated Conference on Computer Science and Information Systems, 2013
@article{palma20133d,
title={3D Non-Local Means denoising via multi-GPU},
author={Palma, Giuseppe and Comerci, Marco and Alfano, Bruno and Cuomo, Salvatore and De Michele, Pasquale and Piccialli, Francesco and Borrelli, Pasquale},
year={2013}
}
Non-Local Means (NLM) algorithm is widely considered as a state-of-the-art denoising filter in many research fields. High computational complexity led to implementations on Graphic Processor Unit (GPU) architectures, which achieve reasonable running times by filtering, slice-by-slice, 3D datasets with a 2D NLM approach. Here we present a fully 3D NLM implementation on a multi-GPU architecture and suggest its high scalability. The performance results we discuss encourage the coding of further filter improvements and the investigation of a large spectrum of applicative scenarios.
October 4, 2013 by hgpu
