Gradual ghost imaging of moving objects by tracking based on cross correlation

被引：92

作者：

Sun, Shuai ^{[1
,2
]}

Gu, Jun-Hao ^{[1
,2
]}

Lin, Hui-Zu ^{[1
,2
]}

Jiang, Liang ^{[1
,2
]}

Liu, Wei-Tao ^{[1
,2
]}

机构：

[1] Natl Univ Def Technol, Coll Liberal Arts & Sci, Dept Phys, Changsha 410073, Hunan, Peoples R China

[2] Natl Univ Def Technol, Interdisciplinary Ctr Quantum Informat, Changsha 410073, Hunan, Peoples R China

来源：

OPTICS LETTERS | 2019年 / 44卷 / 22期

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1364/OL.44.005594

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The requirement of a large number of samplings limits the performance of ghost imaging for moving objects. Conventionally, tracking and imaging of the moving objects are done independently; thus, sequential dear images of the moving target during its evolution are required. In this Letter, we propose to obtain the displacement of the object via cross correlation between sequential unclear rough images. Then, a high-quality image of the moving object can be reconstructed gradually during its evolution. Our method works well for translating and rotating objects. (C) 2019 Optical Society of America

引用

页码：5594 / 5597

页数：4

共 31 条

[1] Compressive adaptive computational ghost imaging [J].