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Proceedings Paper

A maximum entropy image restoration method based on Weiner filter
Author(s): Changjun Fu; Dong Xu; Yan Zhao
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Paper Abstract

A closed-form maximum entropy image restoration method is proposed in this paper. First, the least square solution in the presence of measurement error is found by Weiner filter. Then a small perturbation from the solution is determined in the null space of the blur matrix by maximum entropy criterion. The closed-form least square solution and its perturbation are deserved which means no iterative, less complexity and rapid processing. Compared with Weiner filter, the method proposed is also a stabilizing algorithm, and more details can be deserved due to the introduced perturbation.

Paper Details

Date Published: 19 February 2008
PDF: 10 pages
Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 66250N (19 February 2008); doi: 10.1117/12.790839
Show Author Affiliations
Changjun Fu, Beijing Univ. of Aeronautics and Astronautics (China)
Dong Xu, Beijing Univ. of Aeronautics and Astronautics (China)
Yan Zhao, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 6625:
International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications

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