A Correlation Based Strategy for the Acceleration of Nonlocal Means Filtering Algorithm

Although the nonlocal means (NLM) algorithm takes a significant step forward in image filtering field, it suffers from a high computational complexity. To deal with this drawback, this paper proposes an acceleration strategy based on a correlation operation. Instead of per-pixel processing, this app...

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Main Authors: Junfeng Zhang, Jiasong Wu, Jean-Louis Coatrieux, Limin Luo, Yang Chen
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2016/5483485
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spelling doaj-f51961d26eaa4050a486cb0d088567202020-11-24T22:17:01ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472016-01-01201610.1155/2016/54834855483485A Correlation Based Strategy for the Acceleration of Nonlocal Means Filtering AlgorithmJunfeng Zhang0Jiasong Wu1Jean-Louis Coatrieux2Limin Luo3Yang Chen4Laboratory of Image Science and Technology, Southeast University, Nanjing 210096, ChinaLaboratory of Image Science and Technology, Southeast University, Nanjing 210096, ChinaCentre de Recherche en Information Biomédicale Sino-Francais (LIA CRIBs), 35000 Rennes, FranceLaboratory of Image Science and Technology, Southeast University, Nanjing 210096, ChinaLaboratory of Image Science and Technology, Southeast University, Nanjing 210096, ChinaAlthough the nonlocal means (NLM) algorithm takes a significant step forward in image filtering field, it suffers from a high computational complexity. To deal with this drawback, this paper proposes an acceleration strategy based on a correlation operation. Instead of per-pixel processing, this approach performs a simultaneous calculation of all the image pixels with the help of correlation operators. Complexity analysis and experimental results are reported and show the advantage of the proposed algorithm in terms of computation and time cost.http://dx.doi.org/10.1155/2016/5483485
collection DOAJ
language English
format Article
sources DOAJ
author Junfeng Zhang
Jiasong Wu
Jean-Louis Coatrieux
Limin Luo
Yang Chen
spellingShingle Junfeng Zhang
Jiasong Wu
Jean-Louis Coatrieux
Limin Luo
Yang Chen
A Correlation Based Strategy for the Acceleration of Nonlocal Means Filtering Algorithm
Mathematical Problems in Engineering
author_facet Junfeng Zhang
Jiasong Wu
Jean-Louis Coatrieux
Limin Luo
Yang Chen
author_sort Junfeng Zhang
title A Correlation Based Strategy for the Acceleration of Nonlocal Means Filtering Algorithm
title_short A Correlation Based Strategy for the Acceleration of Nonlocal Means Filtering Algorithm
title_full A Correlation Based Strategy for the Acceleration of Nonlocal Means Filtering Algorithm
title_fullStr A Correlation Based Strategy for the Acceleration of Nonlocal Means Filtering Algorithm
title_full_unstemmed A Correlation Based Strategy for the Acceleration of Nonlocal Means Filtering Algorithm
title_sort correlation based strategy for the acceleration of nonlocal means filtering algorithm
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2016-01-01
description Although the nonlocal means (NLM) algorithm takes a significant step forward in image filtering field, it suffers from a high computational complexity. To deal with this drawback, this paper proposes an acceleration strategy based on a correlation operation. Instead of per-pixel processing, this approach performs a simultaneous calculation of all the image pixels with the help of correlation operators. Complexity analysis and experimental results are reported and show the advantage of the proposed algorithm in terms of computation and time cost.
url http://dx.doi.org/10.1155/2016/5483485
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