Open AccessTerahertz image reconstruction based on compressed sensing and inverse Fresnel diffraction
Author(s) -
Yingjie Shang,
Xinke Wang,
Wenfeng Sun,
Peng Han,
Jiasheng Ye,
Shengfei Feng,
Yan Zhang
Publication year - 2019
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.014725
Subject(s) - raster scan , terahertz radiation , optics , diffraction , raster graphics , fresnel diffraction , pixel , compressed sensing , materials science , computer science , iterative reconstruction , physics , computer vision , artificial intelligence
The introduction of compressed sensing (CS) effectively pushes the development of single-pixel THz imaging due to reducing the experimental time and avoiding raster scanning. In this work, a CS method based on photoinduced dynamic masks is employed to recover a THz diffraction field in the time domain, and an inverse Fresnel diffraction (IFD) integral is adopted to remove the influence of the diffraction and reconstruct the sharp THz spectral image in a single-pixel THz imaging system. The compatibility of the CS and IFD algorithms are validated on the simulation and experiment. Besides, the reconstruction effects are also systematically analyzed by reducing the measurement number and varying the diffraction distance, respectively. This work supplies a novel thinking for improving the practicability of single-pixel THz imaging.