Owing to the limitations of the manufacturing process and materials, the response of each detection unit of infrared focal plane arrays (IRFPA) is inconsistent when receiving the same intensity of infrared light, causing the generated images to contain significant non-uniform noise. This study proposes an algorithm for correcting infrared non-uniformity based on motion-blurred images. The sliding window is used to separate the non-uniform noise and the image scene information on the infrared motion-blurred image, and image correction is realized using the noise information. The experimental results show that the nonuniformity of the corrected image is reduced by 4.2% compared to that of the original image, which greatly improves the image nonuniformity.