Computational imaging of moving hidden objects through random scattering layers by speckle cross-correlation method

Xianli Zhu; Liangsheng Li

doi:10.1117/12.3032244

10 October 2024 Computational imaging of moving hidden objects through random scattering layers by speckle cross-correlation method

Xianli Zhu, Liangsheng Li

Author Affiliations +

Proceedings Volume 13278, Seventh Global Intelligent Industry Conference (GIIC 2024); 1327817 (2024) https://doi.org/10.1117/12.3032244
Event: Seventh Global Intelligent Industry Conference (GIIC 2024), 2024, Shenzhen, China

Abstract

The presence of random scattering layers diffuses incident field information of objects, which interferes with the imaging process of objects, resulting in the geometry of objects not being accurately imaged. In this paper, we propose and experimentally demonstrate an approach for computational imaging of moving hidden objects through random scattering layers based on speckle cross-correlation method. Theoretical analysis denotes that imaging of moving objects is achieved by the speckle cross-correlation function and the conventional Fienup-type iterative phase-retrieval algorithm. The proposed results may have applications in imaging through grove and biological tissues.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Xianli Zhu and Liangsheng Li "Computational imaging of moving hidden objects through random scattering layers by speckle cross-correlation method", Proc. SPIE 13278, Seventh Global Intelligent Industry Conference (GIIC 2024), 1327817 (10 October 2024); https://doi.org/10.1117/12.3032244

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KEYWORDS

Speckle

Light scattering

Scattering

Image restoration

Biological imaging

Speckle pattern

Computational imaging

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