Computational ghost imaging of hot objects in long-wave infrared range
Research output: Contribution to journal › Article › peer-review
Colleges, School and Institutes
- School of Physics and Astronomy
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.
|Number of pages||5|
|Journal||Applied Physics Letters|
|Publication status||Published - 19 Jul 2017|