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Single-image-based solution for optics temperature-dependent nonuniformity correction in an uncooled long-wave

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    This study presents a novel single-image method to eliminate temperature-induced nonuniformity in infrared images. The technique effectively removes fixed pattern noise from imaging optics for clearer long-wave infrared imaging.

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    Area of Science:

    • Infrared Imaging Technology
    • Optical Engineering
    • Image Processing

    Background:

    • Temperature fluctuations introduce significant nonuniformity in infrared imaging systems.
    • Existing nonuniformity correction (NUC) methods often require specialized hardware or multiple images, limiting shutterless operation.

    Purpose of the Study:

    • To develop an efficient and accurate single-image-based solution for removing temperature-dependent nonuniformity caused by imaging optics.
    • To enable completely shutterless NUC for uncooled long-wave infrared (LWIR) imaging systems.

    Main Methods:

    • A novel approach computes optics-related fixed pattern noise (FPN) by fitting correction model derivatives to locally computed image gradients.
    • A modified bilateral filtering algorithm refines gradients, isolating optics-induced nonuniformity.
    • The estimated bias field is subtracted from raw infrared images to correct intensity variations.

    Main Results:

    • The proposed method effectively removes temperature-dependent nonuniformity from infrared images using a single image.
    • The technique accurately compensates for intensity variations caused by imaging optics.
    • Demonstrated capability for shutterless NUC in uncooled LWIR systems.

    Conclusions:

    • The developed method offers a significant advancement over existing NUC techniques for FPAs.
    • This single-image approach provides essential image processing for shutterless LWIR imaging.
    • The technique enhances the accuracy and efficiency of infrared image correction.