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dc.contributor.author | Sanchez, Maria G. | es_ES |
dc.contributor.author | Vidal Gimeno, Vicente Emilio | es_ES |
dc.contributor.author | Arnal, Josep | es_ES |
dc.contributor.author | Vidal Meló, Anna | es_ES |
dc.date.accessioned | 2015-06-25T10:10:13Z | |
dc.date.available | 2015-06-25T10:10:13Z | |
dc.date.issued | 2014 | |
dc.identifier.issn | 2147-5105 | |
dc.identifier.uri | http://hdl.handle.net/10251/52283 | |
dc.description.abstract | A parallel algorithm to remove impulsive noise in digital images using heterogeneous CPU/GPU computing is proposed. The parallel denoising algorithm is based on the peer group concept and uses an Euclidean metric. In order to identify the amount of pixels to be allocated in multi-core and GPUs, a performance analysis using large images is presented. A comparison of the parallel implementation in multi-core, GPUs and a combination of both is performed. Performance has been evaluated in terms of execution time and Megapixels/second. We present several optimization strategies especially effective for the multi-core environment, and demonstrate significant performance improvements. The main advantage of the proposed noise removal methodology is its computational speed, which enables efficient filtering of color images in real-time applications. | es_ES |
dc.description.sponsorship | This work was supported by the Spanish Ministry of Science and Innovation [grant number TIN2011-26254]. | es_ES |
dc.format.extent | 11 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | 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 | MATEMATICA APLICADA | es_ES |
dc.subject.classification | 2229 | es_ES |
dc.title | Image Noise Removal on Heterogeneous CPU-GPU Configurations | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.1016/j.procs.2014.05.207 | |
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.contributor.affiliation | Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada | es_ES |
dc.description.bibliographicCitation | Sanchez, MG.; Vidal Gimeno, VE.; Arnal, J.; Vidal Meló, A. (2014). Image Noise Removal on Heterogeneous CPU-GPU Configurations. Elsevier. https://doi.org/10.1016/j.procs.2014.05.207 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 14th International Conference on Computational Science | es_ES |
dc.relation.conferencedate | June 10-12, 2014 | es_ES |
dc.relation.conferenceplace | Cairns, Australia | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.procs.2014.05.207 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.senia | 285108 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |