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

Shuang Zhang, Hong-Chao Liu

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)
210 Downloads (Pure)


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 languageEnglish
Article number031110
Number of pages5
JournalApplied Physics Letters
Publication statusPublished - 19 Jul 2017


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