Image enhancement by local information fusion with pre-processing and composed metric

被引：4
|
作者：
Aubailly, Mathieu [1 ]
Vorontsov, Mikhail A. [1 ,2 ]
Carhart, Gary W. [2 ]
Valley, Michael T. [3 ]
机构：
[1] Univ Maryland, Intelligent Opt Lab, College Pk, MD 20740 USA
[2] Army Res Lab, Intelligent Opt Lab, Adelphi, MD 20783 USA
[3] Sandia Natl Labs, Albuquerque, NM 87185 USA
来源：
ATMOSPHERIC OPTICS: MODELS, MEASUREMENTS, AND TARGET-IN-THE-LOOP PROPAGATION II | 2008年 / 7090卷
关键词：
Imaging; atmospheric turbulence; anisoplanatism; image quality metric; image processing;
D O I：
10.1117/12.799874
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
An imaging enhancement technique capable of mitigating the effect of atmospheric turbulence on wide field-of-view images is presented. The method is based on the local information fusion from a set of short-exposure anisoplanatic images. Since anisoplanatism affects short-exposure images locally, the synthetic imaging algorithm uses local image quality information. Pre-processing of the source data and use of a composed image quality metric are considered. The synthetic imaging technique is tested on experimental data. The synthesized images show an improvement in image quality compared to the original set of images.
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收藏
页数：8
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