Single-Shot Computational THz 3D Imaging

Terahertz (THz) imaging holds promise in a wide range of application fields due to the penetration ability of $\mathbf{T H z}$ radiation, in combination with a relatively low wavelength, as compared to radar, which facilitates generating sharp images. However, existing THz imaging techniques typically rely on sequential scanning due to the unavailability of large detector arrays. The use of Compressive Sensing (CS) techniques can reduce the number of measurements but does not solve its sequential acquisition. In this work, we show the feasibility of single-shot THz 3D imaging leveraging a multi-aperture THz camera. Adopting a CS perspective, we construct a linear sensing model and assume target sparsity. Our experimental validation confirms that sparsity-promoting methods succeed in reconstructing 3D volumes from a few intensity measurements.