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Video snapshot compressive imaging using adaptive progressive coding for high-quality reconstruction under different

Xing Liu, Mingyu Zhu, Siming Zheng

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    |December 22, 2023
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    This study introduces an adaptive progressive coding method for high-speed color video snapshot compressive imaging (video SCI). The new system achieves stable, high-quality imaging across various lighting conditions, from 2 to 60 lux.

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    Area of Science:

    • Optics and Imaging Technology
    • Computational Imaging
    • Video Processing

    Background:

    • High-speed color video acquisition under varying illumination presents significant challenges.
    • Existing video snapshot compressive imaging (video SCI) systems often struggle with image stability and light throughput in low-light conditions.

    Purpose of the Study:

    • To develop an adaptive progressive coding method for video SCI systems.
    • To achieve high-quality, stable color video capture across a wide range of illumination levels.
    • To enhance the integrated design of imaging systems, including optics, mechanics, and control.

    Main Methods:

    • Proposed an adaptive progressive coding method tailored for video SCI.
    • Integrated the design of the imaging system encompassing optics, mechanics, and control.
    • Conducted simulations and real-world experiments to validate system performance.

    Main Results:

    • The adaptive progressive coding method effectively mitigates image stability issues under diverse illumination.
    • The integrated system design significantly improves light throughput compared to previous video SCI systems.
    • Demonstrated successful color video shooting within an illumination range of 2 lux to 60 lux.

    Conclusions:

    • The proposed adaptive progressive coding method enhances the performance of video SCI systems.
    • The integrated imaging system design enables robust high-speed color video capture in challenging lighting environments.
    • This advancement broadens the applicability of video SCI technology for low-light imaging scenarios.