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Parallelization of a Public Image Restoration Algorithm

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4699))

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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Bo Kågström Erik Elmroth Jack Dongarra Jerzy Waśniewski

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© 2007 Springer-Verlag Berlin Heidelberg

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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

  • Print ISBN: 978-3-540-75754-2

  • Online ISBN: 978-3-540-75755-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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