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dc.contributor.author | Sánchez, M. G. | es_ES |
dc.contributor.author | Vidal, V. | es_ES |
dc.contributor.author | Bataller Mascarell, Jordi | es_ES |
dc.contributor.author | Arnal, J. | es_ES |
dc.date.accessioned | 2014-10-01T13:58:28Z | |
dc.date.available | 2014-10-01T13:58:28Z | |
dc.date.issued | 2013 | |
dc.identifier.issn | 1877-0509 | |
dc.identifier.uri | http://hdl.handle.net/10251/40550 | |
dc.description.abstract | [EN] A parallel algorithm for image noise removal is proposed. The algorithm is based on peer group concept and uses a fuzzy metric. An optimization study on the use of the CUDA platform to remove impulsive noise using this algorithm is presented. Moreover, an implementation of the algorithm on multi-core platforms using OpenMP is presented. Performance is evaluated in terms of execution time and a comparison of the implementation parallelised in multi-core, GPUs and the combination of both is conducted. A performance analysis with large images is conducted in order to identify the amount of pixels to allocate in the CPU and GPU. The observed time shows that both devices must have work to do, leaving the most to the GPU. Results show that parallel implementations of denoising filters on GPUs and multi-cores are very advisable, and they open the door to use such algorithms for real-time processing. | es_ES |
dc.description.sponsorship | This work was supported by the Spanish Ministry of Science and Innovation [Project TIN2011-26254]. M. G. Sanchez would like to acknowledge DGEST ITCG for the scholarship awarded through the PROMEP program. | |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Procedia Computer Science | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Parallel computing | es_ES |
dc.subject | Noise removal in images | es_ES |
dc.subject | GPU | es_ES |
dc.subject | CUDA | es_ES |
dc.subject | Multi-core | es_ES |
dc.subject | OpenMP | es_ES |
dc.subject.classification | CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | A parallel method for impulsive image noise removal on hybrid CPU/GPU systems | es_ES |
dc.type | Artículo | es_ES |
dc.type | Comunicación en congreso | |
dc.identifier.doi | 10.1016/j.procs.2013.05.429 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2011-26254/ES/COMPUTACION DE ALTAS PRESTACIONES Y SISTEMAS HIBRIDOS/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.description.bibliographicCitation | Sánchez, MG.; Vidal, V.; Bataller Mascarell, J.; Arnal, J. (2013). A parallel method for impulsive image noise removal on hybrid CPU/GPU systems. Procedia Computer Science. 18:2504-2507. https://doi.org/10.1016/j.procs.2013.05.429 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 13th Annual International Conference on Computational Science (ICCS) | |
dc.relation.conferencedate | June 05-07,2013 | |
dc.relation.conferenceplace | Barcelona, Spain | |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.procs.2013.05.429 | es_ES |
dc.description.upvformatpinicio | 2504 | es_ES |
dc.description.upvformatpfin | 2507 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 18 | es_ES |
dc.relation.senia | 256475 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación |