Terahertz compressed sensing imaging based on line array detection

Abstract

In this paper, a terahertz compressed sensing imaging technique based on line array detection is proposed. The feasibility of the proposed terahertz compressed sensing imaging based on line array detection is verified by theoretical derivation, MATLAB and ZEMAX simulation as well as practical experiment. Firstly, we compare the traditional single-pixel compressed sensing imaging, block compressed sensing imaging and the proposed terahertz compressed sensing imaging based on line array detection by MATLAB simulation, and the results show that the proposed technique can achieve high-quality image reconstruction. Then, we import self-designed mask and lenses as well as other devices into ZEMAX to simulate the compressive sensing process of line array detection using non-sequential mode. According to the simulation results, a terahertz line array compressive sensing imaging system is built using a high-speed line-array detector. The experimental results show that the technique has higher imaging stability and the sampling process is highly generalizable to different objects. Compared with the traditional single-pixel random sampling compressed sensing method, this method greatly reduces the sampling rate and successfully reconstructs the original image at a sampling rate of 16%. We believe that the compressed sensing terahertz imaging technology based on line array detection proposed in this paper provides a new idea for terahertz multi-pixel compressed sensing imaging, which is expected to promote the development of terahertz high-resolution rapid imaging. In addition, this technology can be applied to both terahertz line and area scan imaging systems, which has great application potential in correcting image distortion caused by movement of imaging objects.