Aiming at the shortcomings of the dark channel prior dehazing algorithm,such as inaccurate transmission rate estimation,long running time,and color distortion in the sky area,a new dark channel prior fast dehazing algorithm is proposed.First,the foggy image is gray-scale corroded,and the improved dark channel is used to determine the global atmospheric light value.Secondly,the minimum channel map is normalized by the atmospheric light to calculate the initial transmittance.Then,the morphological opening and closing operations are used to smooth the transmittance,and obtain the optimal transmittance according to the minimized objective function under the boundary constraints through iteration.Finally,the image after dehazing is obtained by using the atmospheric scattering model.The experimental results show that the proposed method achieves good results in visual effects,shows good dehazing ability in various image quality evaluation indicators,and is far superior to the traditional dark channel prior dehazing algorithm in terms of speed.