Export to BibTeX Export to EndNote3d Non-Local Means Denoising Via Multi-Gpu (116 views) (PDF public 72 views)
Palma G, Comerci M, Alfano B, Cuomo S, De Michele P, Piccialli F, Borrelli P
2013 Federated Conference On Computer Science And Information Systems Fedcsis 2013 (ISSN: 9781-467344715, 2325-0348), 2013; N/D: 495-498.
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. © 2013 Polish Information Processing Society.
Affiliations ▼
*** IBB - CNR Affiliation
Inst. of Biostructures and Bioimaging, National Research Council of Italy, Via De Amicis 95, 80145 Naples, Italy
Dept. of Mathematics and Applications, University of Naples Federico II, Via Cinthia, 80126 Naples, Italy
Dept. of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy
Consiglio Nazionale delle Ricerche
Universita degli Studi di Napoli Federico II |
Details ▼
Impact factor: 0.318, 5-year impact factor: 0.316
Paper type: Journal Article, Conference Paper,
Keywords: De-Noising, Denoising Filters, Graphic Processor Units, High Scalabilities, Non Local Means (nlm), Non-Local Means, Research Fields, Running Time, Computer Architecture, Information Systems, Three Dimensional,
Url: http://www.scopus.com/inward/record.url?eid=2-s2.0-84892514755&partnerID=40&md5=5b1cbea9a074022139a36a527710f6e7 |
References ▼
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