The haze removal methods of dynamic bad weather imaging images are studied in this paper. A fast real-time image haze removal method based on improved color homomorphic filtering and dark channel based on physical model is proposed. The algorithm is applied to static scenes and scenes with moving targets, and the operation and test results of each algorithm are compared and analyzed. It is verified that the method proposed in this paper has smaller global entropy of 7.6083, low image uncertainty and clearer texture. The average time of a single frame is 12.223 ms, which meets the requirements of real-time operation, and lays the foundation for target detection and recognition in the subsequent complex meteorological environment.