Paper
24 December 2003 Parallel deconvolution methods for three dimensional image restoration
Author Affiliations +
Abstract
Restoration by deconvolution of three-dimensional images that have been contaminated by noise and spatially invariant blur is computationally demanding. We describe efficient parallel implementations of iterative methods for image deconvolution on a distributed memory computing cluster.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bryan W. Lewis and Lothar Reichel "Parallel deconvolution methods for three dimensional image restoration", Proc. SPIE 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, (24 December 2003); https://doi.org/10.1117/12.507894
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
3D image processing

Iterative methods

Image restoration

Deconvolution

Convolution

Image processing

Image quality

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