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    Area of Science:

    • Optics and Photonics
    • Infrared Imaging Systems

    Background:

    • Single-layer diffractive optical elements (SLDOEs) offer advantages in size, cost, and fabrication.
    • A key limitation of SLDOEs is their sharp decrease in diffraction efficiency away from the design wavelength, leading to image blur, particularly in dual-waveband systems.

    Purpose of the Study:

    • To develop a point spread function (PSF) model accounting for diffraction efficiency variations in SLDOEs.
    • To propose an image restoration method to mitigate blur in dual-waveband infrared systems utilizing SLDOEs.

    Main Methods:

    • Introduction of the PSFDOE model, which incorporates the effect of wavelength-dependent diffraction efficiency.
    • Development and application of an image restoration algorithm based on the PSFDOE model.
    • Design and simulation of a dual-waveband (MWIR/LWIR) infrared system incorporating an SLDOE.

    Main Results:

    • The proposed PSFDOE model accurately represents image degradation caused by diffraction efficiency changes.
    • Simulations demonstrated that the image restoration method effectively reduces blur in dual-waveband infrared imaging.
    • The effectiveness of the restoration was validated across various noise levels.

    Conclusions:

    • The PSFDOE model and associated restoration technique offer a viable solution for improving imaging performance in dual-waveband infrared systems with SLDOEs.
    • This approach enhances image clarity by compensating for the inherent limitations of SLDOEs in multi-spectral applications.