A maximum entropy image restoration method based on Weiner filter

Changjun Fu; Dong Xu; Yan Zhao

doi:10.1117/12.790839

19 February 2008 A maximum entropy image restoration method based on Weiner filter

Changjun Fu, Dong Xu, Yan Zhao

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.

Citation Download Citation

Changjun Fu, Dong Xu, and 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); https://doi.org/10.1117/12.790839

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