Terahertz Imaging Based on Velocity Compressed Sensing

Abstract

Terahertz (THz) imaging technology based on compressed sensing is one of the most promising methods for high-speed THz imaging. However, traditional masks are affected by beam diffraction and divergence limiting the quality of the reconstructed image. Here, a THz velocity compressed sensing imaging method for the first time that can achieve high-resolution image reconstruction is proposed. It realizes the patterning of THz beams by controlling the acquisition/scanning speed of the object to avoid the degradation of the mask, which is especially suitable for the detection or imaging of targets at far-field distances. The experimental results show that the proposed imaging method can achieve high-resolution reconstruction of the image under the premise of ensuring the resolution of the original reflective linear array THz imaging system. Even in the face of actual samples with different object distances and complex morphologies, high-quality reconstruction can still be achieved. In addition, the velocity modulation imaging method can also realize the rapid acquisition of THz images under the premise of ensuring the sensitivity of the array detector.