Computational ghost imaging of hot objects in long-wave infrared range

Ghost imaging (GI) is an intriguing imaging modality to obtain the object information from the correlation calculations of spatial intensity fluctuations. In this letter, we report the computational GI of hot objects in the long-wave infrared range both in experiment and simulation. Without employin...

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Bibliographic Details
Published in:Applied physics letters 2017-07, Vol.111 (3)
Main Authors: Liu, Hong-Chao, Zhang, Shuang
Format: Article
Language:English
Subjects:
Algorithms
Applied physics
Image reconstruction
Infrared cameras
Infrared imaging
Light sources
Room temperature
Thermal radiation
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Summary:Ghost imaging (GI) is an intriguing imaging modality to obtain the object information from the correlation calculations of spatial intensity fluctuations. In this letter, we report the computational GI of hot objects in the long-wave infrared range both in experiment and simulation. Without employing an independent light source, we reconstruct thermal images of objects only based on the intensity correlations of their thermal radiation at room temperature. By comparing different GI reconstruction algorithms, we demonstrate that GI with compressive sensing can efficiently obtain the thermal object information only with a single-pixel infrared camera, which might be applied to night-vision, environmental sensing, military detection, etc.
ISSN:0003-6951
1077-3118
DOI:10.1063/1.4994662