3D Data Denoising via Nonlocal Means Filter by Using Parallel GPU Strategies
Joint Authors
Piccialli, Francesco
De Michele, Pasquale
Cuomo, Salvatore
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-15
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Nonlocal Means (NLM) algorithm is widely considered as a state-of-the-art denoising filter in many research fields.
Its high computational complexity leads researchers to the development of parallel programming approaches and the use of massively parallel architectures such as the GPUs.
In the recent years, the GPU devices had led to achieving reasonable running times by filtering, slice-by-slice, and 3D datasets with a 2D NLM algorithm.
In our approach we design and implement a fully 3D NonLocal Means parallel approach, adopting different algorithm mapping strategies on GPU architecture and multi-GPU framework, in order to demonstrate its high applicability and scalability.
The experimental results we obtained encourage the usability of our approach in a large spectrum of applicative scenarios such as magnetic resonance imaging (MRI) or video sequence denoising.
American Psychological Association (APA)
Cuomo, Salvatore& De Michele, Pasquale& Piccialli, Francesco. 2014. 3D Data Denoising via Nonlocal Means Filter by Using Parallel GPU Strategies. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-478469
Modern Language Association (MLA)
Cuomo, Salvatore…[et al.]. 3D Data Denoising via Nonlocal Means Filter by Using Parallel GPU Strategies. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-478469
American Medical Association (AMA)
Cuomo, Salvatore& De Michele, Pasquale& Piccialli, Francesco. 3D Data Denoising via Nonlocal Means Filter by Using Parallel GPU Strategies. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-478469
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-478469