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

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.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1117/12.3032244
Primary Topic
Random lasers and scattering media
Type
article
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article

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

Xianli Zhu, Liangsheng Li
Random lasers and scattering media
article

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

Xianli Zhu, Liangsheng Li
article en

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.

Openalex Percentile: Top 81%
Random lasers and scattering media
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