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.

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页码：1064 / 1073

页数：10

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