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Analog optical deconvolution computing for wavefront coding based on nanoantennas metasurfaces

  • Jiahua Zhang
  • , Shouqian Chen
  • , Di Wang
  • , Xueshen Li
  • , Jiaqian Yu
  • , Zhigang Fan
  • , Feng Huang*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Analog optical computing based on metasurfaces has attracted much attention for achieving high-speed calculating without the electronic processing unit. Wavefront coding imaging systems involve the joint design of an encoded image-capturing module and decoding postprocessing algorithms to obtain a required final image. The decoding postprocessing algorithms, as a typical deconvolution computation, require an additional electronic processing unit to yield a high-quality decoded image. We demonstrate an analog optical deconvolution computing kernel based on nanoantennas metasurfaces for the postprocessing calculation of wavefront coding systems. Numerical simulations are presented to prove that the encoded point spread function can be refocused through a designed optical computing metasurface. The proposed approach opens an opportunity for real-time recovering images in wavefront coding optical systems.

Original languageEnglish
Pages (from-to)32196-32207
Number of pages12
JournalOptics Express
Volume29
Issue number20
DOIs
StatePublished - 27 Sep 2021

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