Underwater imaging is a crucial and challenging problem. The backscattering caused by particles in turbid water can severely degrade the image. In this paper, A novel image dehazing method is devised, which combines optics with image processing technology. This method can directly remove part of the backscattering through polarization technology, and then quickly solve the dehazing image through our algorithm. Experimental results show that our method is valid and robust for targets of diverse materials, grayscale images and color images in diverse scattering environments. Furthermore, our method takes only 2 percent of the time of the fast dark channel prior (DCP) method when processing 1 K resolution images, which meets the requirements of real-time.

水下成像是一个至关重要且具有挑战性的问题。混浊水中的颗粒引起的反向散射会严重降低图像质量。本文设计了一种新的图像去雾方法，将光学与图像处理技术相结合。这种方法可以通过偏振技术直接去除部分背向散射，然后通过我们的算法快速解决去雾图像。实验结果表明，我们的方法对于不同散射环境中的不同材料、灰度图像和彩色图像的目标是有效且稳健的。此外，我们的方法在处理1K分辨率图像时只需要快速暗通道先验（DCP）方法的2%，满足实时性要求。