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Demosaicking DoFP images using edge compensation method based on correlation.

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    This study introduces an edge compensation demosaicking method for infrared polarization imaging systems. The novel approach improves accuracy and speed, outperforming existing methods for real-time polarization information acquisition.

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    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Nanotechnology

    Background:

    • Division of Focal Plane (DoFP) infrared polarization imaging systems are maturing due to nanotechnology advancements.
    • Growing demand for real-time polarization information acquisition is hindered by instantaneous field of view (IFoV) errors in DoFP polarimeters.
    • Existing polarization demosaicking methods lack the required accuracy and speed for efficient performance.

    Purpose of the Study:

    • To address the limitations of current polarization demosaicking techniques for DoFP systems.
    • To propose a novel edge compensation demosaicking method that enhances accuracy and efficiency.
    • To enable real-time acquisition of polarization information with improved performance.

    Main Methods:

    • Developed an edge compensation demosaicking method analyzing channel correlations of polarized images.
    • Implemented demosaicing in the differential domain, leveraging DoFP characteristics.
    • Validated performance using synthetic and authentic near-infrared (NIR) polarized images.

    Main Results:

    • The proposed method significantly outperforms state-of-the-art techniques in both accuracy and efficiency.
    • Achieved an average Peak Signal-to-Noise Ratio (PSNR) improvement of 2 dB on public datasets.
    • Processed a 768x1024 short-wave infrared (SWIR) polarized image in 0.293 seconds on an Intel Core i7-10870H CPU.

    Conclusions:

    • The edge compensation demosaicking method effectively overcomes IFoV errors in DoFP systems.
    • The technique offers superior accuracy and speed compared to existing polarization demosaicking methods.
    • Enables efficient real-time processing of infrared polarization images for various applications.