Research on binocular clear image hazing algorithm based on depth map

At present, most of the dehazing algorithms are the dehazing process of a single hazy image, and the hazy image resources taken by the binocular camera are scarce. Therefore, in order to get rid of the weather restrictions, to more clearly study the hazy images mechanism and increase the data source of binocular hazy images, so as to lay a foundation for the later research on the dehazing algorithm based on binocular stereo vision. This paper proposes a binocular clear image hazing algorithm based on depth map, which combines atmospheric attenuation models with the characteristics of hazing image depth, and derives a model of the hazy image and then simulates the effect of the hazy image on this basis. In practical applications, simply take a clear image and you can get the desired stereo hazy image with this hazing model. Thereby, it provides convenience for the shooting of haze scene effects such as 3D movies and TV dramas, and has a very large practical application value.