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10 July 2008 Post-processing of adaptive optics images based on frame selection and multi-frame blind deconvolution
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Abstract
The adaptive optics can only partially compensate the image blurred by atmospheric turbulence due to the observing condition and hardware restriction. A post-processing method based on frame selection and multi-frames blind deconvolution to improve images partially corrected by adaptive optics is proposed. The appropriate frames which are suitable for blind deconvolution from the recorded AO close-loop frames series are selected by the frame selection technique and then do the multi-frame blind deconvolution. There is no priori knowledge except for the positive constraint in blind deconvolution. It is benefit for the use of multi-frame images to improve the stability and convergence of the blind deconvolution algorithm. The method had been applied in the image restoration of celestial bodies which were observed by 1.2m telescope equipped with 61-element adaptive optical system at Yunnan Observatory. The results show that the method can effectively improve the images partially corrected by adaptive optics.
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Yu Tian, Changhui Rao, and Kai Wei "Post-processing of adaptive optics images based on frame selection and multi-frame blind deconvolution", Proc. SPIE 7015, Adaptive Optics Systems, 70152E (10 July 2008); https://doi.org/10.1117/12.787507
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