A defogging method for infrared camera based on polarization imaging

Huatao Chen; Haibin Wu; Xinbing Chen

doi:10.1117/12.2689305

31 July 2023 A defogging method for infrared camera based on polarization imaging

Huatao Chen, Haibin Wu, Xinbing Chen

Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 127471T (2023) https://doi.org/10.1117/12.2689305
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China

Abstract

Due to the great influence of fog on life and production, this paper uses Stokes principle in polarization imaging combined with the physical model of fog imaging to design and implement an infrared camera fog removal method based on polarization imaging. In this paper, the defogging method of infrared camera based on polarization imaging is introduced in detail, and the sensor is verified by outdoor experiments. The experimental results show that the overall defogging effect of the proposed defogging method is good, with more details of the target scene preserved and strong contrast, which makes the restoration degree of the target scene higher than that of several classical defogging methods.

Citation Download Citation

Huatao Chen, Haibin Wu, and Xinbing Chen "A defogging method for infrared camera based on polarization imaging", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 127471T (31 July 2023); https://doi.org/10.1117/12.2689305

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