In order to reduce the block fuzzy effect in estimating the atmospheric scattering function based on the traditional color image dehazing method,this paper propos es a single color image dehazing method based on segmentation mapping.First of a ll,the front end image blurring vision and regional segmentation are adopted,and the at mospheric scattering function prediction value is obtained based on the segmentation mapping through the image bright ness information.Second,the orientation of the traditional filtering method is used to estimate the atmospheric scattering function value and to optimize the analysis,which can fur ther enhance the edge information of the image,improve the color of the sky in a large area under the massive image edge blur effect,and enhance the image in the region containing t he fog mutation to fog effect.Finally,the algorithm performance is analyzed through exper iment according to the actual acquisition of the fog image containing the defogging effect analysis and comparison, respectively.The quantitative comparison is conducted based on the image improv ing quantity,the degree of naturalness index,the color colorfulness index and computing time.The results show that this method can improve the effect of fog removing and the re al-time performance.