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

Shuang Zhang; Hong-Chao Liu

doi:10.1063/1.4994662

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

Shuang Zhang, Hong-Chao Liu

Physics and Astronomy

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19 Citations (Scopus)

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Abstract

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.

Original language	English
Article number	031110
Number of pages	5
Journal	Applied Physics Letters
Volume	111
DOIs	https://doi.org/10.1063/1.4994662
Publication status	Published - 19 Jul 2017

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Checked for eligibility: 21/06/2019 This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Appl. Phys. Lett. 111, 031110 (2017) and may be found at: https://doi.org/10.1063/1.4994662
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Cite this

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AB - 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.

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

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