MULTIFRAME BLIND DECONVOLUTION OF ASTRONOMICAL IMAGES

被引：239
|
作者：
SCHULZ, TJ
机构：
[1] Department of Electrical Engineering, Michigan Technological University, Houghton
来源：
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION | 1993年 / 10卷 / 05期
关键词：
D O I：
10.1364/JOSAA.10.001064
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Maximum-likelihood estimation techniques are presented for the problem of forming object estimates from turbulence-degraded images when the point-spread functions are unknown. The inability of unconstrained maximum-likelihood methods to form meaningful estimates is acknowledged, and iterative algorithms are derived for estimating the object by using both a penalized maximum-likelihood method and a physically meaningful parameterization of the point-spread functions by phase errors distributed over an aperture.
引用
收藏
页码：1064 / 1073
页数：10
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