PhotoniX, Volume. 4, Issue 1, 1(2023)

Directly and instantly seeing through random diffusers by self-imaging in scattering speckles

Jietao Liu1、†, Wenhong Yang2、†, Guofeng Song1, and Qiaoqiang Gan2、*
Author Affiliations
  • 1Laboratory of Photonic Integrated Circuits, Xiong’an Institute of Innovation, Chinese Academy of Sciences, Xiong’an New Area, Beijing, 071700 Hebei Province, China
  • 2Sustainability & Photonics Energy Research Laboratory, Material Science Engineering program, Division of Physical Science & Engineering, King Abdullah University of Science and Technology Thuwal, Saudi Arabia
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    Imaging through scattering medium is challenging but important for different applications. Most advances rely on computational image reconstruction from scattering signals. In these conventional investigations, speckles were always treated as scrambled grainy patterns. Directly seeing through scattering diffusers has never been realized. Here, we report a new strategy to see through random diffusers directly using self-imaging of speckles. By analyzing the physics, a direct observation strategy through scattering media is reported with improved image quality. Using this method, we experimentally demonstrated reconstruction-free real-time imaging of static and moving objects with their actual orientation information under single-wavelength and white light illumination. We also proposed a modified speckle autocorrelation imaging (SAI) method inspired by the self-imaging results. Importantly, our strategy requires no pre-calibration or acquisition of point-spread-function, no active control of wavefronts or complicated equipment, nor iterations or carefully adjusted parameters, paving the way towards rapid and high-quality imaging through scattering diffusers.

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    Jietao Liu, Wenhong Yang, Guofeng Song, Qiaoqiang Gan. Directly and instantly seeing through random diffusers by self-imaging in scattering speckles[J]. PhotoniX, 2023, 4(1): 1

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    Paper Information

    Category: Research Articles

    Received: Oct. 5, 2022

    Accepted: Nov. 28, 2022

    Published Online: Jul. 10, 2023

    The Author Email: Qiaoqiang Gan (qiaoqiang.gan@kaust.edu.sa)

    DOI:10.1186/s43074-022-00080-2

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