Iterative blind deconvolution of adaptive optics images

作     者：梁莹 饶长辉 李梅 耿则勋 

作者机构：Institute of Optics and Electronics Chinese Academy of SciencesChengdu 610209 Graduate School of Chinese Academy of SciencesBeijing 100039 Institute of Optics and Electronics Chinese Academy of SciencesChengdu 610209 People's Liberation Army Information Engineering University Zhengzhou 450052 

出 版 物：《Chinese Optics Letters》 (中国光学快报（英文版）)

年 卷 期：2006年第4卷第4期

页      面：187-188页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080203[工学-机械设计及理论] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 0702[理学-物理学] 

基　　金：This work was supported by the National "863" Project of China 

主　　题：Adaptive optics Atmospheric turbulence Image processing Maximum likelihood estimation Object recognition 

摘      要：Adaptive optics （AO） technique has been extensively used for large ground-based optical telescopes to overcome the effect of atmospheric turbulence. But the correction is often partial. An iterative blind deconvolution （IBD） algorithm based on maximum-likelihood （ML） method is proposed to restore the details of the object image corrected by AO. IBD algorithm and the procedure are briefly introduced and the experiment results are presented. The results show that IBD algorithm is efficient for the restoration of some useful high-frequency of the image.