Kronecker products in image restoration

James G. Nagy; Lisa Perrone

doi:10.1117/12.512082

24 December 2003 Kronecker products in image restoration

James G. Nagy, Lisa Perrone

Proceedings Volume 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII; (2003) https://doi.org/10.1117/12.512082
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

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.

Citation Download Citation

James G. Nagy and Lisa Perrone "Kronecker products in image restoration", Proc. SPIE 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, (24 December 2003); https://doi.org/10.1117/12.512082

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