Abstract
Markov Random Field (MRF) based algorithms used for restoring images affected by blur and noise are generally very effective, but most of them are computationally very heavy. The recently proposed ARTUR algorithm is a deterministic method that belongs to this family. In this work, a parallel implementation of this algorithm is proposed on a PVM environment. Various results are shown and the performance is analysed comparing the proposed parallel implementation against the sequential one.
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© 2000 Springer-Verlag Berlin Heidelberg
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Fernández, G.J., Jacobo-Berlles, J., Borensztejn, P., Bauzá, M., Mejail, M. (2000). Use of PVM for MAP Image Restoration: A Parallel Implementation of the ARTUR Algorithm. In: Dongarra, J., Kacsuk, P., Podhorszki, N. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2000. Lecture Notes in Computer Science, vol 1908. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45255-9_18
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DOI: https://doi.org/10.1007/3-540-45255-9_18
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