极化(电化学)
红外线的
计算机科学
计算机视觉
人工智能
图像传感器
斯托克斯参量
光学
遥感
物理
地质学
化学
散射
物理化学
作者
Huatao Chen,Haibin Wu,Xinbing Chen
摘要
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.
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