Abstract
We present a deconvolution method intended for image restoration. Although the method is computationally heavy, it obtains a good restoration quality. We have successfully achieved the scientific aim of parallelizing the algorithm, obtaining acceptable scalability on shared and distributed memory machines.
This work has been partially supported by the EC (FEDER) and the Spanish MEC (Plan Nacional de I+D+I, TIN2005-09037-C02-01).
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Almeida, F., Delgado, C., García-López, R., de Sande, F. (2007). Parallelization of a Public Image Restoration Algorithm. In: Kågström, B., Elmroth, E., Dongarra, J., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2006. Lecture Notes in Computer Science, vol 4699. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75755-9_41
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DOI: https://doi.org/10.1007/978-3-540-75755-9_41
Publisher Name: Springer, Berlin, Heidelberg
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