• Photonics Research
  • Vol. 10, Issue 7, 1689 (2022)
Xingchen Zhao1, Xiaoyu Nie1、2, Zhenhuan Yi1, Tao Peng1、*, and Marlan O. Scully1、3、4、5
Author Affiliations
  • 1Institute for Quantum Science and Engineering, Texas A&M University, College Station, Texas 77843, USA
  • 2School of Physics, Xi’an Jiaotong University, Xi’an 710049, China
  • 3Baylor University, Waco, Texas 76706, USA
  • 4Princeton University, Princeton, New Jersey 08544, USA
  • 5e-mail: scully@tamu.edu
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    DOI: 10.1364/PRJ.456156 Cite this Article Set citation alerts
    Xingchen Zhao, Xiaoyu Nie, Zhenhuan Yi, Tao Peng, Marlan O. Scully. Imaging through scattering media via spatial–temporal encoded pattern illumination[J]. Photonics Research, 2022, 10(7): 1689 Copy Citation Text show less

    Abstract

    Optical imaging through scattering media has long been a challenge. Many approaches have been developed for focusing light or imaging objects through scattering media, but usually, they are either invasive, limited to stationary or slow-moving media, or require high-resolution cameras and complex algorithms to retrieve the images. By utilizing spatial–temporal encoded patterns (STEPs), we introduce a technique for the computation of imaging that overcomes these restrictions. With a single-pixel photodetector, we demonstrate non-invasive imaging through scattering media. This technique is insensitive to the motion of the media. Furthermore, we demonstrate that our image reconstruction algorithm is much more efficient than correlation-based algorithms for single-pixel imaging, which may allow fast imaging for applications with limited computing resources.
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    Xingchen Zhao, Xiaoyu Nie, Zhenhuan Yi, Tao Peng, Marlan O. Scully. Imaging through scattering media via spatial–temporal encoded pattern illumination[J]. Photonics Research, 2022, 10(7): 1689
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