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 |
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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 |
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Country/Territory | Poland |
City | Krakow |
Period | 9/8/13 → 9/11/13 |
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Information Systems