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Peer group and fuzzy metric to remove noise in images using heterogeneous computing

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Peer group and fuzzy metric to remove noise in images using heterogeneous computing

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Sanchez, G.; Vidal Gimeno, VE.; Bataller Mascarell, J. (2012). Peer group and fuzzy metric to remove noise in images using heterogeneous computing. En Euro-Par 2011: Parallel Processing Workshops. Springer Verlag (Germany). 7155:502-510. doi:10.1007/978-3-642-29737-3

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/36969

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Title: Peer group and fuzzy metric to remove noise in images using heterogeneous computing
Author: Sanchez, Guadalupe Vidal Gimeno, Vicente Emilio Bataller Mascarell, Jordi
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
In this paper, we report a study on the parallelization of an algorithm for removing impulsive noise in images. The algorithm is based on the concept of peer group and fuzzy metric. We have developed implementations ...[+]
Subjects: Remove impulsive noise , Peer group , Fuzzy metric , Parallel algorithm , CUDA , OpenMP , Multi-core , Multi-GPU
Copyrigths: Cerrado
ISBN: 978-3-642-29736-6
Source:
Euro-Par 2011: Parallel Processing Workshops. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-29737-3
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/chapter/10.1007/978-3-642-29737-3_55
Conference name: CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, 2011
Conference place: Bordeaux, France
Conference date: August 29 - September 2, 2011
Series: Lecture Notes in Computer Science;vol. 7155
Thanks:
This work was funded by the Spanish Ministry of Science and Innovation (Project TIN2008-06570-C04-04) and M. Guadalupe would also like to acknowledge DGEST ITCG for the scholarship awarded through the PROMEP program (Mexico)[+]
Type: Capítulo de libro

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