Parallelization of ARTUR algorithm using PVM

The algorithms based on Markov Random Fields (MRF), used for restoring images affected by blur and noise are usually effective, but also computationally very heavy. In this work, a parallelization of the ARTUR algorithm, on the Parallel Virtual Machine (PVM), is considered. © 2000 IEEE.

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Detalles Bibliográficos
Autor principal: Fernandez, G.J
Otros Autores: Jacobo-Berlles, J., Bauzá, M., Borensztejn, P., Mejail, M., Walter M., Carvalho P.C, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq); FAPERGS; Informatica UFRGS; PUCRS; Sociedade Brasileira de Computacao (SBC); Universidade do Vale do Rio dos Sinos (UNISINOS)
Formato: Acta de conferencia Capítulo de libro
Lenguaje:Inglés
Publicado: IEEE Computer Society 2000
Acceso en línea:Registro en Scopus
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Registro en la Biblioteca Digital
Aporte de:Registro referencial: Solicitar el recurso aquí
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100 1 |a Fernandez, G.J. 
245 1 0 |a Parallelization of ARTUR algorithm using PVM 
260 |b IEEE Computer Society  |c 2000 
506 |2 openaire  |e Política editorial 
504 |a Charbonnier, P., Blanc-Feraud, L., Deterministic edge-preserving regularization in computed imaging (1997) IEEE Transactions on Image Processing, 6 (2), pp. 298-311. , February 
504 |a Geist, A., Beguelin, A., Dongarra, J., (1994) PVM: Parallel Virtual Machine. A User's Guide and Tutorial for Networked Parallel Computing 
504 |a Fernández, D.G.J., (2000) Un Método Paralelo para Restauración de Imágenes Basado en Campos de Markov, , To be defendedA4 - Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq); FAPERGS; Informatica UFRGS; PUCRS; Sociedade Brasileira de Computacao (SBC); Universidade do Vale do Rio dos Sinos (UNISINOS) 
520 3 |a The algorithms based on Markov Random Fields (MRF), used for restoring images affected by blur and noise are usually effective, but also computationally very heavy. In this work, a parallelization of the ARTUR algorithm, on the Parallel Virtual Machine (PVM), is considered. © 2000 IEEE.  |l eng 
593 |a Departamento de Computación, FCEYN, Universidad de Buenos Aires, Argentina 
690 1 0 |a ALGORITHMS 
690 1 0 |a COMPUTER GRAPHICS 
690 1 0 |a MARKOV PROCESSES 
690 1 0 |a MARKOV RANDOM FIELDS 
690 1 0 |a PARALLEL VIRTUAL MACHINES 
690 1 0 |a PARALLELIZATIONS 
690 1 0 |a IMAGE PROCESSING 
700 1 |a Jacobo-Berlles, J. 
700 1 |a Bauzá, M. 
700 1 |a Borensztejn, P. 
700 1 |a Mejail, M. 
700 1 |a Walter M. 
700 1 |a Carvalho P.C. 
700 1 |a Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq); FAPERGS; Informatica UFRGS; PUCRS; Sociedade Brasileira de Computacao (SBC); Universidade do Vale do Rio dos Sinos (UNISINOS) 
711 2 |d 17 October 2000 through 20 October 2000  |g Código de la conferencia: 116477 
773 0 |d IEEE Computer Society, 2000  |g v. 2000-January  |h pp. 331  |p Braz. Symp. Comput. Graph. Image Process.  |n Brazilian Symposium of Computer Graphic and Image Processing  |x 15301834  |z 0769508782  |t 13th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2000 
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