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Type: 
Journal
Description: 
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.
Publisher: 
Springer Berlin Heidelberg
Publication date: 
1 Apr 2019
Authors: 

Donatella Granata, Umberto Amato, Bruno Alfano

Biblio References: 
Volume: 16 Issue: 2 Pages: 523-533
Origin: 
Journal of Real-Time Image Processing