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Journal of Real-Time Image Processing

, Volume 16, Issue 2, pp 523–533 | Cite as

MRI denoising by nonlocal means on multi-GPU

  • Donatella GranataEmail author
  • Umberto Amato
  • Bruno Alfano
Original Research Paper
  • 322 Downloads

Abstract

A critical issue in image restoration is noise removal, whose state-of-art algorithm, NonLocal Means, is highly demanding in terms of computational time. Aim of the present paper is to boost its performance by an efficient algorithm tailored to GPU hardware architectures. This algorithm adapts itself to several variants of the methodologies in terms of different strategies for estimating the involved filtering parameter, type of noise affecting data, multicomponent signals, spatial dimension of the images. Numerical experiments on brain Magnetic Resonance images are provided.

Keywords

NonLocal means Image denoising Magnetic resonance imaging Graphical processing unit 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Istituto per le Applicazioni del Calcolo ‘Mauro Picone’ CNRNaplesItaly
  2. 2.Istituto di Biostrutture e Bioimmagini CNRNaplesItaly

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