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Published Articles >> Table of Contents >> Abstract
14th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP'06)
pp. 21-27
Multiprocessing of Anisotropic Nonlinear Diffusion for Filtering 3D Images
Siham Tabik, University of Almería
E. M. Garzón, University of Almería
I. García, University of Almería
J. J. Fernández, University of Almería
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDP.2006.48
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| Abstract |
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This article describes and analyzes the parallelization of
the Anisotropic Nonlinear Diffusion (AND) for filtering 3D
images. AND is one of the most powerful denoising techniques
in the field of computer vision. This technique consists
in resolving the equation of diffusion tightly coupled
with a massive set of eigensystems. Denoising large 3D images
in biomedicine and structural cellular biology by AND
has a high computational cost. In this work, we propose
a portable and efficient parallel implementation of AND
based on a hybrid paradigm that combines (1)the message
passing model and (2)the shared address space model. The
proposed parallel implementation has been evaluated on a
cluster of SMPs based on a UMA Uniform Memory access.
The evaluation results show that the hybrid model is more
suitable for this kind of platforms.
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 Additional Information
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Citation:
Siham Tabik, E. M. Garzón, I. García, J. J. Fernández,
"Multiprocessing of Anisotropic Nonlinear Diffusion for Filtering 3D Images,"
pdp,
pp. 21-27,
14th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP'06),
2006
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