Super-resolution polarization imaging based on polarization aberration correction of digital micromirror devices

Miao Xu; Chao Wang; Haodong Shi; Yingchao Li; Huilin Jiang

doi:10.1117/12.2689114

31 July 2023 Super-resolution polarization imaging based on polarization aberration correction of digital micromirror devices

Miao Xu, Chao Wang, Haodong Shi, Yingchao Li, Huilin Jiang

Author Affiliations +

Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 127470D (2023) https://doi.org/10.1117/12.2689114
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China

Abstract

The polarization imaging detector combines polarization imaging with compressed sensing to obtain four polarization angles of information at the same time. By gaining information from a more dimensional dimension, this increases the contrast of the image and improves detection and recognition capabilities. However, the special structure of the polarization imaging detector reduces the imaging resolution. To solve this problem, we propose a combined imaging method that combines polarization imaging and compressed sensing. We compress the polarization information using digital micromirror array encoding, analyze the influence of the DMD on polarization image errors, and reconstruct the high-resolution polarization information image using deep learning networks. Compared to traditional compressed sensing reconstruction methods, our network achieves better reconstruction results and has higher peak signal-to-noise ratio (PSNR).

Citation Download Citation

Miao Xu, Chao Wang, Haodong Shi, Yingchao Li, and Huilin Jiang "Super-resolution polarization imaging based on polarization aberration correction of digital micromirror devices", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 127470D (31 July 2023); https://doi.org/10.1117/12.2689114

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KEYWORDS

Polarization

Polarization imaging

Digital micromirror devices

Image restoration

Image compression

Super resolution

Sampling rates

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