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

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 clear images of the moving target during its evolution are required. In this Letter, we propo...

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Published in:Optics letters 2019-11, Vol.44 (22), p.5594-5597
Main Authors: Sun, Shuai, Gu, Jun-Hao, Lin, Hui-Zu, Jiang, Liang, Liu, Wei-Tao
Format: Article
Language:English
Subjects:
Cross correlation
Evolution
Image quality
Image reconstruction
Moving object recognition
Tracking
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cited_by cdi_FETCH-LOGICAL-c296t-2cdf46ef28028f3fc7b853cd83789d3d40847a3d15fc2687ddadef8399e088743
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description 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 clear 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.
doi_str_mv 10.1364/OL.44.005594
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subjects Cross correlation
Evolution
Image quality
Image reconstruction
Moving object recognition
Tracking
title Gradual ghost imaging of moving objects by tracking based on cross correlation
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