3D Non-Local Means denoising via multi-GPU

Giuseppe Palma; Marco Comerci; Bruno Alfano; Salvatore Cuomo; Pasquale De Michele; Francesco Piccialli; Pasquale Borrelli

3D Non-Local Means denoising via multi-GPU

Giuseppe Palma, Marco Comerci, Bruno Alfano, Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli, Pasquale Borrelli

IRCCS SDN

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	2013 Federated Conference on Computer Science and Information Systems, FedCSIS 2013
Pages	495-498
Number of pages	4
Publication status	Published - 2013
Event	2013 Federated Conference on Computer Science and Information Systems, FedCSIS 2013 - Krakow, Poland Duration: Sep 8 2013 → Sep 11 2013

Other

Other	2013 Federated Conference on Computer Science and Information Systems, FedCSIS 2013
Country	Poland
City	Krakow
Period	9/8/13 → 9/11/13

ASJC Scopus subject areas

Computer Science (miscellaneous)
Information Systems

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3D Non-Local Means denoising via multi-GPU. / Palma, Giuseppe; Comerci, Marco; Alfano, Bruno; Cuomo, Salvatore; De Michele, Pasquale; Piccialli, Francesco; Borrelli, Pasquale.

2013 Federated Conference on Computer Science and Information Systems, FedCSIS 2013. 2013. p. 495-498 6644045.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Comerci, Marco

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AU - Cuomo, Salvatore

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AU - Piccialli, Francesco

AU - Borrelli, Pasquale

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AB - 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.

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BT - 2013 Federated Conference on Computer Science and Information Systems, FedCSIS 2013

T2 - 2013 Federated Conference on Computer Science and Information Systems, FedCSIS 2013

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