1 November 1989 Efficient Algorithms for Least-Squares Restoration
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Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970162
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cheung Auyeung, Cheung Auyeung, Russell M. Mersereau, Russell M. Mersereau, } "Efficient Algorithms for Least-Squares Restoration", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970162; https://doi.org/10.1117/12.970162


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