Self-deconvolution for shift-and-add imaging

被引:9
作者
Sudo, Y [1 ]
Baba, N [1 ]
机构
[1] Hokkaido Univ, Grad Sch Engn, Dept Appl Phys, Sapporo, Hokkaido 0608628, Japan
关键词
D O I
10.1364/OL.30.001309
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A shift-and-add (SAA) method is used to restore atmospherically degraded images. The operation of the SAA method is simple, but the deconvolution method of SAA images remains to be developed, especially for extended objects. We propose to deconvolve a SAA image of an extended object by use of a self-deconvolving data reconstruction algorithm (SeDDaRA). Computer simulations show the effectiveness of the SeDDaRA to SAA images. It is also shown that use of the SAA method after each data frame is self-deconvolved leads to a better reconstruction. (c) 2005 Optical Society of America
引用
收藏
页码:1309 / 1311
页数:3
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