Abstract: Obtaining scene depth and the sky brightness value is the core issue for fog image restoration method . However ,the present haze removal algorithms are all based on certain assumptions to obtain these two parameters and are not effective enough for processing drab and large sky area inland images .By studying the inland waterway video image , this paper combines the histogram multimodal averaging and bit plane decomposition method to get the sky brightness val -ue to split the sky area .Then ,by using the separate area scene depth calculation method ,the image scene depth of any point is obtained .Finally ,according to the atmospheric scattering model ,the haze removal of single inland image is com-pleted .In order to evaluate the proposed methods ,the paper compares the haze removal effectiveness from three aspects including the visible image edge number ratio ,average gradient ratio and image entropy value .Experiments show that the proposed algorithm is effective for the fog inland image .