posted on 2021-11-02, 00:04authored byRayko
Ivanov Stantchev, Kaidi Li, Emma Pickwell-MacPherson
We report the first
use of a convolutional neural network for terahertz
(THz) imaging combined with a single-pixel camera to achieve high
quality hyperspectral THz imaging 10× faster than the current
commercial systems, with faster potential only limited by noise. Imaging
with a spatial light modulator (SLM) relies on projecting a set of
spatial patterns onto an object and recording the transmission with
a single-pixel detector, and an optical delay unit (ODU) is used to
obtain the terahertz time-of-flight information. A key breakthrough
in this work is to synchronize the equipment to not need any time
to instruct the ODU to move while projecting the patterns.