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An iterative deconvolution algorithm using combined regularization for low-order corrected astronomical images
Hualin Chen; Xiangyan Yuan; Xiangqun Cui
2008-07-10
会议录名称Adaptive Optics Systems
卷号7015
期号7015
页码Vol.7015 2F-1-12
会议日期2008-6-23
会议地点Marseille, France
会议主办者The International Society for Optical Engineering
出版者SPIE
摘要
An iterative deconvolution algorithm is presented in detail which utilizes regularization to combine maximum-likelihood (ML) estimate of convolution error and several physical constraints to build error function. The physical constraints used in this algorithm include positivity, band-limit information and the information of multiple frames. By minimizing the combined error metric of individual ones, the object can be expected to be recovered from the noisy data. In addition, numerical simulation of Phase Screen distorted by atmospheric turbulence following the Kolmogorov spectrum is also made to generate the PSFs which are
used to simulate the degraded images.
关键词Adaptive Optics Iterative Deconvolution Maximum-likelihood Physical Constraints
学科领域自适应光学
文献类型会议论文
条目标识符http://ir.niaot.ac.cn/handle/114a32/542
专题会议论文
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Hualin Chen,Xiangyan Yuan,Xiangqun Cui. An iterative deconvolution algorithm using combined regularization for low-order corrected astronomical images[C]:SPIE,2008:Vol.7015 2F-1-12.
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