Abstract: A polarization dehazing algorithm based on atmosphere background suppression is proposed, which makes use of polarization imaging detection system to achieve polarization images from all aspects. The atmosphere lumen outpout and the degree of polarization are estimated. The depth of scenery is also estimated by using the information of scenery polarization. The atmosphere scattering model is restored. Thus, the image dehazing is implemented. Experimental results show this algorithm improves scenery visual effect in condition of haze.

Key words: polarization imaging, background suppression, dehazing algorithm

摘要： 提出一种基于大气背景抑制的偏振去雾算法，利用偏振成像探测系统获取任意多方向偏振图像，并对场景大气总光强及偏振度进行估计，利用景物偏振信息估算景物深度，同时对大气散射模型进行图像复原，以实现图像去雾。实验结果表明，该算法能有效改善薄雾条件下的景物视觉效果。

关键词: 偏振成像, 背景抑制, 去雾算法

CLC Number: 

• TP301.6