The imperfect visual effects in fused images are caused by the large difference between the regional features of night-vision halation images. To address this problem, a partition fusion method for visible and infrared images is proposed. First, the halation threshold of the low-frequency coefficient, determined by the adaptive threshold iteration method, divided the low-frequency coefficient into halation and nonhalation regions. In the halation region, the proposed nonlinear adjustment method for the infrared coefficient weights eliminated halation according to the degree of halation in the image. In the nonhalation region, the weight adjustment method based on the prior grayscale mean was applied to improve the weight of brighter images participating in the fusion to enhance the visibility of dark areas. The experimental results show that the proposed method can be applied to night-vision halation scenes of different degrees to eliminate halation and improve the quality of night-vision image fusion.