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一种改进的大气模糊图像恢复算法
引用本文:李抱朴,曹治国,桑农,张天序.一种改进的大气模糊图像恢复算法[J].红外与激光工程,2004,33(6):626-628.
作者姓名:李抱朴  曹治国  桑农  张天序
作者单位:华中科技大学,图像识别与人工智能研究所,图像信息处理与智能控制教育部重点实验室,湖北,武汉,430074
基金项目:国家863资助项目(2002AA731212),国家自然科学基金资助重点项目(60135020)
摘    要:针对天文图像受大气影响而变模糊的问题,利用多帧盲去卷积方法对变质图像的恢复及点扩展函数的辨识进行了研究,并采用基于受惩极大似然估计的GEM改进算法从模糊图像序列中得到目标以及点扩展函数的迭代解。实验结果表明该算法能有效地恢复出原物体并估计出点扩散函数。

关 键 词:多帧盲去卷积  受惩极大似然估计  GEM算法
文章编号:1007-2276(2004)06-0626-03
收稿时间:2003/12/28
修稿时间:2003年12月28

Improved restoration algorithm of turbulence degraded images
LI Bao-pu,CAO Zhi-guo,SANG Nong,ZHANG Tian-xuratory of Education Ministry for Image Processing and Intelligent Control,Huazhong University of Science and Technology,Wuhan ,China.Improved restoration algorithm of turbulence degraded images[J].Infrared and Laser Engineering,2004,33(6):626-628.
Authors:LI Bao-pu  CAO Zhi-guo  SANG Nong  ZHANG Tian-xuratory of Education Ministry for Image Processing and Intelligent Control  Huazhong University of Science and Technology  Wuhan  China
Affiliation:LI Bao-pu,CAO Zhi-guo,SANG Nong,ZHANG Tian-xuratory of Education Ministry for Image Processing and Intelligent Control,Huazhong University of Science and Technology,Wuhan 430074,China)
Abstract:A multi-frame blind deconvolution method is presented for the restoration of the astronomical object which has been degraded mainly by the turbulence and the identification of the point spread function. By using the improved generalized expectation-maximization on the base of the penalized maximum-likelihood estimation method, iterative algorithm is obtained to solve the above problems. Experimental results show that the method is effective and robust.
Keywords:Multi-frame blind deconvolution  Penalized maximum-likelihood estimation  GEM algorithm
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