为恢复雾天图像对比度和颜色,更好地提取图像中的信息,根据海上开阔海域的特点,利用3维到2维透视投影模型,推导了海上图像任意像素点景深的计算公式,并结合暗原色先验知识,有效解决基准景深点的选取和天空亮度的选取问题,最后基于相对景深模型和大气散射模型,对单幅雾天图像进行清晰化处理。通过大量雾天降质图像的实验验证,该算法的去雾效果优于基于暗原色先验统计方法的效果。

It is important to extract the information from images which have poor contrasts and colors acquired in bad weather.This paper proposes an effective method to remove haze from a single input image. First, focusing on sea images with deep and wild view, the formulas of relative depth are given based on a projection model from 3D to 2D. Then, using the dark channel prior, the sky intensity and reference depth can be obtained more accurate. At last, the degrade images can be recovered by relative scene depths model and atmosphere physical model.Our results demonstrate that our approach performs better than the dark channel prior method.