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Kronecker products in image restoration
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Paper Abstract

A flexible preconditioning approach based on Kronecker product and singular value decomposition (SVD) approximations is presented. The approach can be used with a variety of boundary conditions, depending on what is most appropriate for the specific deblurring application. It is shown that, regardless of the imposed boundary condition, SVD approximations can be used effectively in filtering methods, such as the truncated SVD, as well as in designing preconditioners for iterative methods.

Paper Details

Date Published: 24 December 2003
PDF: 11 pages
Proc. SPIE 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, (24 December 2003); doi: 10.1117/12.512082
Show Author Affiliations
James G. Nagy, Emory Univ. (United States)
Lisa Perrone, Emory Univ. (United States)

Published in SPIE Proceedings Vol. 5205:
Advanced Signal Processing Algorithms, Architectures, and Implementations XIII
Franklin T. Luk, Editor(s)

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