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Transformer-based despeckling for laser active polarimetric imaging.

Ziheng Shang, Junmeng Han, Xiaoyi Hao

    Optics Letters
    |June 15, 2026
    PubMed
    Summary

    This study introduces PoDeFormer, a novel network for laser active polarization imaging. It effectively suppresses speckle noise while preserving crucial polarization information, enhancing image quality for real-time applications.

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    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Computational Imaging

    Background:

    • Laser active polarization imaging suffers from coherent speckle noise, degrading image quality and polarization parameter accuracy.
    • Current denoising methods fail to adequately address speckle noise's unique statistics and multi-channel image correlations.

    Purpose of the Study:

    • To develop an effective method for speckle noise suppression in laser active polarization imaging.
    • To improve image quality and polarization parameter estimation accuracy.

    Main Methods:

    • Proposed a polarimetric speckle suppression network named PoDeFormer.
    • Leveraged the intrinsic connection between incoherent illumination and coherent speckle.
    • Utilized structural correlations among multi-channel polarization images.

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    Last Updated: Jun 17, 2026

    Imaging Plasma Membrane Deformations With pTIRFM
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    Main Results:

    • PoDeFormer effectively removes speckle noise while preserving polarization information integrity.
    • The network demonstrates fast inference with minimal computational overhead.
    • Achieved efficient and reliable real-time denoising.

    Conclusions:

    • PoDeFormer offers an efficient and reliable solution for speckle noise reduction in laser active polarization imaging.
    • The method enhances image quality and preserves polarization information, crucial for accurate parameter estimation.