title: Medical image denoising via optimal implementation of non-local means on hybrid parallel architecture.
abstract: The Non-local means denoising filter has been established as gold standard for image denoising problem in general and particularly in medical imaging due to its efficiency. However, its computation time limited its applications in real world application, especially in medical imaging. In this paper, a distributed version on parallel hybrid architecture is proposed to solve the computation time problem and a new method to compute the filters' coefficients is also proposed, where we focused on the implementation and the enhancement of filters' parameters via taking the neighborhood of the current voxel more accurately into account. In terms of implementation, our key contribution consists in reducing the number of shared memory accesses. The different tests of the proposed method were performed on the brain-web database for different levels of noise. Performances and the sensitivity were quantified in terms of speedup, peak signal to noise ratio, execution time, the number of floating point operations. The obtained results demonstrate the efficiency of the proposed method. Moreover, the implementation is compared to that of other techniques, recently published in the literature.
authors.affiliation: Laboratoire Images, Signaux et Systèmes Intelligents (LISSI, E. A. 3956), Université de Paris-Est Créteil, 122 Rue Paul Armangot, 94400 Vitry sur Seine, France; BULL, SAS, Rue Jean Jaurès, 78340 Les Clayes-sous-Bois, France.
authors.forename: Tuan-Anh
authors.initials: TA
authors.lastname: Nguyen
authors.affiliation: Laboratoire Images, Signaux et Systèmes Intelligents (LISSI, E. A. 3956), Université de Paris-Est Créteil, 122 Rue Paul Armangot, 94400 Vitry sur Seine, France; BULL, SAS, Rue Jean Jaurès, 78340 Les Clayes-sous-Bois, France. Electronic address: nakib@u-pec.fr.
authors.forename: Amir
authors.initials: A
authors.lastname: Nakib
authors.affiliation: BULL, SAS, Rue Jean Jaurès, 78340 Les Clayes-sous-Bois, France.
authors.forename: Huy-Nam
authors.initials: HN
authors.lastname: Nguyen
mesh_terms: D000465:Algorithms; D003952:Diagnostic Imaging; D006801:Humans; D007089:Image Enhancement / Q000379:methods*
keywords: High performance computing; Image denoising; Image enhancement; Parallel computing