High-resolution ghost imaging through complex media using common-path dual-polarization correction

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Ghost imaging (GI) cannot work properly in complex scattering environments due to scaling factors which disrupt the beam correlation. Current algorithms and optical designs face high complexity or robustness concerns. In this paper, we report a robust common-path GI (CPGI) setup with dual polarization to correct scaling factors. The s-light and p-light with mutually orthogonal polarization states are generated in the designed optical path to correct a series of dynamic scaling factors induced by complex scattering media. Optical experiments in dynamic scattering environments demonstrate the effectiveness of CPGI. This approach leverages an optical design to correct dynamic scaling factors, avoiding high complexity in algorithms. Compared to previous schemes, the method adopts a simplified optical setup, and can realize high-quality GI in complex and dynamic scattering environments to promote a wide application of GI.

Original languageEnglish
Title of host publicationSixteenth International Conference on Information Optics and Photonics, CIOP 2025
EditorsYue Yang
PublisherSPIE
Pages1-4
Number of pages4
ISBN (Electronic)9781510699274
DOIs
Publication statusPublished - 8 Dec 2025
Event16th International Conference on Information Optics and Photonics, CIOP 2025 - Xi'an, China
Duration: 10 Aug 202514 Aug 2025

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13990
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference16th International Conference on Information Optics and Photonics, CIOP 2025
Country/TerritoryChina
CityXi'an
Period10/08/2514/08/25

Keywords

  • common-path
  • dual polarization states
  • dynamic scattering
  • Ghost imaging

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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