28 October 1994 Reducing boundary distortion in image restoration
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Abstract
The ill-conditioned nature of the inverse problem of image restoration produces dramatic consequences when the boundaries of the image are incorrectly modeled. Solutions to this problem are difficult to find in the literature. In this paper, we develop and analyze two sets of new approaches that are effective with algebraic restoration procedures.
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Franklin T. Luk, Franklin T. Luk, David Vandevoorde, David Vandevoorde, } "Reducing boundary distortion in image restoration", Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); doi: 10.1117/12.190867; https://doi.org/10.1117/12.190867
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