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    This study developed a new single-lens computational infrared imaging system. By enhancing lens modulation transfer function (MTF) consistency, it significantly reduces computational demands for real-time reconstruction.

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    Area of Science:

    • Optics and Photonics
    • Computational Imaging
    • Infrared Technology

    Background:

    • Increasing demand for high-quality, lightweight infrared imaging systems.
    • Single-lens computational imaging offers miniaturization but faces challenges with complex post-processing algorithms for real-time reconstruction on neural network processing unit (NPU) chips.
    • High computational complexity of current algorithms hinders practical application.

    Purpose of the Study:

    • To investigate the relationship between post-processing algorithm complexity and lens modulation transfer function (MTF).
    • To develop a single-lens computational infrared imaging system with reduced computational demands for real-time performance.
    • To demonstrate the feasibility of enhancing MTF consistency for simplified reconstruction.

    Main Methods:

    • Investigated the link between lens MTF consistency and post-processing algorithm complexity.
    • Proposed a design method focused on enhancing lens MTF consistency for single-lens systems.
    • Developed a computational infrared imaging system utilizing a small Res-Unet (S-Res-Unet) neural network.
    • Compared the proposed system with traditional methods using a large Res-Unet (L-Res-Unet).

    Main Results:

    • Demonstrated that high MTF consistency in a single-lens system significantly simplifies post-processing algorithms.
    • The proposed system achieved a 16-fold reduction in computational demands compared to traditional methods.
    • Real-time reconstruction at 25 fps with 640x480 resolution was achieved on an RK3588 NPU chip.
    • Maintained a system MTF exceeding 0.42 at the Nyquist frequency of 42 lp/mm.

    Conclusions:

    • Enhancing lens MTF consistency is a viable strategy to reduce computational complexity in single-lens computational imaging.
    • The developed system enables practical, real-time infrared imaging with reduced hardware requirements.
    • This research facilitates the broader adoption of advanced computational infrared imaging systems.