雾天图像清晰化方法及应用

Method and application of image clearness in foggy weather

针对雾天户外图像的退化现象,提出了一种基于大气模型的完全自适应的图像清晰化方法。该方法根据图像的灰度分布特性,求出天空区域灰度的最佳近似正态分布,再由这个近似正态分布得到天空区域的灰度均值,同时根据灰度直方图分割出各个景物的深度区域,然后利用大气模型列方程组,可得归一化辐射率的值,从而能够实现雾天图像清晰化。实验表明,该方法对雾天退化图像的清晰化效果较好。

Aiming to degraded phenomena of images in foggy weather, a new entirely self-adapting method of image clearness was proposed according to an atmospheric model. Under the gray distributing characteristic of an image, the optimal normal distribution of the gray for sky region can be gained. Then, the gray mean of the sky distribution can be obtained according to the optimal normal distribution. Simuhaneously, the same depth neighborhood of image can be divided by the arithmetic of gray histogram, and the equations can be listed using atmospheric model for getting the values of normalized radiance. Thereby, the overcast of image can be cleared. Experimental result shows that this method can effectively improve foggy weather images.