Abstract: The traditional methods of single image visibility detection have the problems of high hardware cost,small application range and low detection efficiency.This paper proposes a new method of single image scene depth visibility detection.Firstly,the visibility detection principle is deduced according to Koschmieder law and ICAO recommended contrast threshold,and then the extinction coefficient is obtained according to the atmospheric attenuation model,the key factors affecting the visibility of the image,such as the transmittance and the depth of the scene,are determined.Then the transmittance value is obtained by using the dark channel prior theory,and the depth value of the scene is obtained by combining the SFS (shape from shadow) and the binocular model.Finally,the visibility of the image is inversed by solving the extinction coefficient.The experimental results verify the effectiveness of the method,and the accuracy and detection efficiency are greatly improved compared with the traditional detection methods.This method does not need the internal parameters of the camera,and does not need to take multiple images of the same scene,so it is easy to operate and has a wide range of applications.

Key words: Extinction coefficient, Fogging image, Image depth, Transmittance, Visibility detection