Two-stage Adaptive Compressive Sensing and Reconstruction for Terahertz Single-Pixel Imaging

Terahertz (THz) single-pixel imaging system based on compressive sensing (CS) technique is recently studied widely because it can significantly reduce the cost of THz sensor and processing latency. This paper proposes a two-stage adaptive CS and reconstruction algorithm for single-pixel THz imaging systems. The proposed algorithm incorporates the object profile information, which is acquired from the first-stage sensing and reconstruction, in the mask patterns of the second-stage sensing and reconstruction, thereby improving the image quality with smaller measurement number and reduced computational complexity. Simulation results show that, when the target mean square error is set to be 0.08, the proposed two-stage CS and reconstruction algorithm can reduce 43.9% measurements and 36% complexity for 64 x 64 images compared with the traditional one-stage single-pixel CS imaging system.