[2603.27357] Guided Lensless Polarization Imaging

[2603.27357] Guided Lensless Polarization Imaging

arXiv - AI 3 min read

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Abstract page for arXiv paper 2603.27357: Guided Lensless Polarization Imaging

Electrical Engineering and Systems Science > Image and Video Processing arXiv:2603.27357 (eess) [Submitted on 28 Mar 2026] Title:Guided Lensless Polarization Imaging Authors:Noa Kraicer, Erez Yosef, Raja Giryes View a PDF of the paper titled Guided Lensless Polarization Imaging, by Noa Kraicer and 2 other authors View PDF HTML (experimental) Abstract:Polarization imaging captures the polarization state of light, revealing information invisible to the human eye yet valuable in domains such as biomedical diagnostics, autonomous driving, and remote sensing. However, conventional polarization cameras are often expensive, bulky, or both, limiting their practical use. Lensless imaging offers a compact, low-cost alternative by replacing the lens with a simple optical element like a diffuser and performing computational reconstruction, but existing lensless polarization systems suffer from limited reconstruction quality. To overcome these limitations, we introduce a RGB-guided lensless polarization imaging system that combines a compact polarization-RGB sensor with an auxiliary, widely available conventional RGB camera providing structural guidance. We reconstruct multi-angle polarization images for each RGB color channel through a two-stage pipeline: a physics-based inversion recovers an initial polarization image, followed by a Transformer-based fusion network that refines this reconstruction using the RGB guidance image from the conventional RGB camera. Our two-stage method sig...

Originally published on March 31, 2026. Curated by AI News.

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