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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Almeida, F., Delgado, C., García-López, R., & De Sande, F. (2007). Parallelization of a public image restoration algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4699 LNCS, pp. 330–339). Springer Verlag. https://doi.org/10.1007/978-3-540-75755-9_41
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