Multiframe blind deconvolution with real data: imagery of the Hubble Space Telescope

被引:36
作者
Schulz, Timothy J. [1 ]
Stribling, Bruce E. [2 ]
Miller, Jason J. [3 ]
机构
[1] Michigan Technol Univ, Dept Elect Engn, Houghton, MI 49931 USA
[2] Air Force Maui Opt Stn, PL OL YY, Maui, HI 96753 USA
[3] Environm Res Inst Michigan, Ann Arbor, MI 48113 USA
关键词
D O I
10.1364/OE.1.000355
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Multiframe blind deconvolution - the process of restoring resolution to blurred imagery when the precise form of the blurs is unknown - is discussed as an estimation-theoretic method for improving the resolving power of ground-based telescopes used for space surveillance. The imaging problem is posed in an estimation-theoretic framework whereby the object's incoherent scattering function is estimated through the simultaneous identification and correction of the distorting effects of atmospheric turbulence. An iterative method derived via the expectation-maximization (EM) procedure is reviewed, and results obtained from telescope imagery of the Hubble Space Telescope are presented. (C) 1997 Optical Society of America
引用
收藏
页码:355 / 362
页数:8
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