Harnessing forward scattering effect for high dynamic imaging

Abstract Imaging scenes with a high dynamic range (HDR) of light intensities is critical for applications such as biomedical imaging, astronomical observation, and industrial automation, where accurate detection of both bright and dark regions is essential for precise analysis and decision-making. In this paper, we propose an HDR imaging approach harnessing optical forward scattering effect that breaks the limitations of image processing type. Our approach integrates a nonlinear deconvolution method based on speckle background noise estimation, along with Cross-correlation and Laplacian pyramid fusion method, to improve imaging precision and adaptability. By utilizing a digital micromirror device and a scattering diffuser, we develop a proof-of-concept experimental system, validating the effectiveness of reconstruction of faint details in HDR scenes. This method achieves dynamic range expansion from a 130.01 dB HDR scene using a detector with an 88.5 dB dynamic range, achieving a 119-fold intensity difference. Our work demonstrates a promising new solution for HDR imaging in demanding lighting environments, which could expand the scope of photoelectronic imaging application.

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Publication Details

Journal
PhotoniX
Published
2025-10-15
DOI
https://doi.org/10.1186/s43074-025-00202-6
Primary Topic
Random lasers and scattering media
Type
article
Field-Weighted Citation Impact
0.00

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article

Harnessing forward scattering effect for high dynamic imaging

Min Qiao, Jinpeng Liu, Xue Dong, Lu Bai et al.
PhotoniX
Random lasers and scattering media
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Harnessing forward scattering effect for high dynamic imaging

Min Qiao, Jinpeng Liu, Xue Dong, Lu Bai, Haodong Yang, Xiaopeng Shao, Tao Zhang, Yuhan Zhang, Fei Liu, Sylvain Gigan
article en

Abstract

Abstract Imaging scenes with a high dynamic range (HDR) of light intensities is critical for applications such as biomedical imaging, astronomical observation, and industrial automation, where accurate detection of both bright and dark regions is essential for precise analysis and decision-making. In this paper, we propose an HDR imaging approach harnessing optical forward scattering effect that breaks the limitations of image processing type. Our approach integrates a nonlinear deconvolution method based on speckle background noise estimation, along with Cross-correlation and Laplacian pyramid fusion method, to improve imaging precision and adaptability. By utilizing a digital micromirror device and a scattering diffuser, we develop a proof-of-concept experimental system, validating the effectiveness of reconstruction of faint details in HDR scenes. This method achieves dynamic range expansion from a 130.01 dB HDR scene using a detector with an 88.5 dB dynamic range, achieving a 119-fold intensity difference. Our work demonstrates a promising new solution for HDR imaging in demanding lighting environments, which could expand the scope of photoelectronic imaging application.

PhotoniXVol. 6(1)
Centre National de la Recherche Scientifique (FR), Xidian University (CN), Université Paris Sciences et Lettres (FR), Laboratoire Kastler Brossel (FR), École Normale Supérieure - PSL (FR), Sorbonne Université (FR), Xi’an University (CN), Xi'an Institute of Optics and Precision Mechanics (CN)
National Natural Science Foundation of China, Xidian University, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 76%
Random lasers and scattering media
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