Deconvolution of astronomical adaptive optics images

被引:2
|
作者
Fusco, T
Mugnier, L
Conan, JM
Rousset, G
Marchis, F
Chauvin, G
Lagrange, AK
Mouillet, D
机构
关键词
D O I
10.1051/eas:2003069
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Deconvolution is a necessary tool for the exploitation of adaptive optics corrected images, because the correction is partial. The Maximum A Posteriori (MAP) framework is used to derive a, deconvolution method (MISTRAL) that combines the data with our knowledge of the noise statistics as well as our prior information about the object and the variability of the Point Spread Function. The deconvolution of experimental and scientific data illustrates the capabilities of this method.
引用
收藏
页码:259 / 271
页数:13
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