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Transformer-based despeckling for laser active polarimetric imaging.
Optics Letters
|June 15, 2026
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.
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.
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.
