基于大气模型的天气退化图像复原方法及应用

介绍了一种简单的基于大气模型的天气退化图像复原方法．与以往的天气退化图像复原方法相比，该方法只需要一幅受天气影响的图像和少量的用户提供的额外信息，而不需要任何深度和天气信息，即可去除图像的天气影响．该方法通过深度启发法来获取场景点的深度信息，基于大气模型对天气退化图像进行复原，针对去除天气影响后图像亮度降低的问题，采用了直方图调整方法进行图像增强．在MATLAB平台上的仿真实验结果表明，该方法对天气退化图像复原的效果较好．

A Method of Restoring A Weather Degradation Image Based on Atmospheric Scattering Model and Its Application

In this paper, a simple method of restoring a weather degradation image is introduced. Comparing with the traditional method, using this method,the effect of weather in an image can be eliminated, without any additional weather or depth information. In this case, an image in bad weather and simple information provided by the user are needed only. The depth conditions information of the scene point can be got by using the depth developmental method .Then the weather degradation image can be restored based on the atmospheric scattering model. For solving the brightness degrading problem of the restored image, the histogram brightness adjusting method is used to enhance the image. The simulation result in MATLAB shows that the effect of this method in restoring a weather degradation image is very good.