Research On Fog Degraded Image Sharpness Restoration Technology

In case of foggy weather,the image of the outdoor scene is vulnerable to the impact of the weather,which leads to the contrast and color information loss and image quality decreasing.The characteristics of the information contained are covered and image details can't be recognized,which eventually leads to the serious impact on the quality of outdoor computer vision system.So under the condition of the foggy weather,the contrast of foggy images of the outdoor scene is improved by image processing technology processing to ensure the quality of outdoor work of computer vision system.Because of the advantages of accurate,fast,reliable of the computer vision system,it is widely used in every corner of the world.The technology of image processing to defog on the computer vision system has a direct application value.This paper revolves around prior dark defogging method to study.Firstly,analyzes the constitution of the haze,as well as the impact on the spread of light.The foggy image degradation model and atmospheric scattering model are given.We analyze the influence on imaging mechanism.On the basis of the model,the defogging scheme is set up and after comparison;prior dark grey to fog is chosen to be improved.In order to meet the real-time requirements,and deal with color distortion,The transmittance of T value which leads to edge smoothing is replaced by guide filter combined with bilateral filtering method.Through experimental comparison,the proposed method can effectively obtain a clear image,and shorten the time of image processing,which improves the quality of the foggy image and can shorten the defogging time consuming.