19 February 2008 A maximum entropy image restoration method based on Weiner filter
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Proceedings Volume 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications; 66250N (2008) https://doi.org/10.1117/12.790839
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China
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.
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Changjun Fu, Changjun Fu, Dong Xu, Dong Xu, Yan Zhao, Yan Zhao, } "A maximum entropy image restoration method based on Weiner filter", Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 66250N (19 February 2008); doi: 10.1117/12.790839; https://doi.org/10.1117/12.790839
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