Reducing boundary distortion in image restoration

Franklin T. Luk; David Vandevoorde

doi:10.1117/12.190867

28 October 1994 Reducing boundary distortion in image restoration

Franklin T. Luk, David Vandevoorde

Proceedings Volume 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V; (1994) https://doi.org/10.1117/12.190867
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Franklin T. Luk and David Vandevoorde "Reducing boundary distortion in image restoration", Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); https://doi.org/10.1117/12.190867

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