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Reconfigurable Metasurface Hologram of Dynamic Distance via Deep Learning
oleh: Yijun Zou, Yijun Zou, Rongrong Zhu, Rongrong Zhu, Lian Shen, Bin Zheng, Bin Zheng, Bin Zheng
Format: | Article |
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Diterbitkan: | Frontiers Media S.A. 2022-05-01 |
Deskripsi
Reconfigurable metasurfaces have been regarded as an emerging subfield of metasurfaces that can manipulate electromagnetic wave information in a smart manner. They stimulate a gradual transition in metasurface holography from passive to active elements. To date, intelligent dynamic holographic imaging schemes typically rely on iterative or data-driven methods to obtain holograms at a fixed imaging distance, which significantly hinders the development of intelligent dynamic holographic imaging in practical scenarios involving high demands for dynamic imaging distances. Herein, a computer-generated hologram algorithm with a dynamic imaging distance and a reconfigurable metasurface are proposed, which is referred to as a generator and physical diffractive network. Simulation results of time–distance division for three-dimensional imaging are provided to demonstrate the reliability and high efficiency of the proposed algorithm.