Methods of Restoring a Weather Degradation Image Based on Physical Model and Their Application

The contrast and color of a weather degradation image are bad. Lacking of some parameters, it´s difficult to restore the contrast and color of the scene under the fine weather by only one weather degradation image. In this paper two simple methods of restoring a weather degradation image, depth developmental method and depth estimate method, are introduced. The two methods bases on the dichromatic armospheric scattering model. It can delete the effect of weather in an image, without any additional weather and depth information. It only needs an image in bad weather and simple information provide interactively by the user. The intensity of the restored image degrades. So we use the histogram intensity adjusting method and depth intensity adjusting method respectively to enhance and adjust the intensity of the image. We simulate the two methods in Matlab, and compare between them. Simulation results show that the effect of the two methods in restoring a weather degradation image is good.