Image dehazing algorithm for image partition optimization based on generalized Gaussian function

In this paper, we propose a method to remove the imaging ambiguity caused by scattering in foggy days based on the utilization of generalized Gaussian function. We use the generalized Gaussian function to simulate the light transmission performance in foggy weather and then obtain its attenuation charateristics for further achieving image defogging results. We also propose a zonal dehazing method according to the distribution of fog in hazed image, thereby further improving the quality of the dehazing image. We use real fog data sets to quantitatively analyze and visualize the results. The simulation results show that the image information entropy and visible edge ratio obtained by the algorithm are improved, which verifies the effectiveness and superiority of the proposed algorithm.