Proceedings Paper
Efficient Algorithms for Least-Squares Restoration| Format | Member Price | Non-Member Price |
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Paper Abstract
This paper introduces a new algorithm for the restoration of black and white photographic images that have been distorted by linear blurs and additive noise. The algorithm is iterative and particularly efficient for one-dimensional causal distortions, such as motion blur, and one- and two-dimensional symmetric distortions, such as out-of-focus blurs. It involves solving sets of Toeplitz or block Toeplitz linear equations. The algorithm is illustrated using an example involving motion blur.
Paper Details
Date Published: 1 November 1989
PDF: 7 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970162
Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)
PDF: 7 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970162
Show Author Affiliations
Cheung Auyeung, Georgia Institute of Technology (United States)
Russell M. Mersereau, Georgia Institute of Technology (United States)
Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)
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