Affiliation:
1. Taiyuan University of technology
2. Beijing University of Technology
3. Shanxi University
Abstract
Tomography plays an important role in characterizing the three-dimensional structure of samples within specialized scenarios. In the paper, a masked attention network is presented to eliminate interference from different layers of the sample, substantially enhancing the resolution for photon-level single-pixel tomographic imaging. The simulation and experimental results have demonstrated that the axial resolution and lateral resolution of the imaging system can be improved by about 3 and 2 times respectively, with a sampling rate of 3.0 %. The scheme is expected to be seamlessly integrated into various tomography systems, which is conducive to promoting the tomographic imaging for biology, medicine, and materials science.
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Science and Technology Major Special Project of Shanxi Province
Fundamental Research Program of Shanxi Province
Subject
Atomic and Molecular Physics, and Optics