Nighttime Image Dehazing Algorithm Based on Improved Transmittance Distribution Estimation

This paper presents an improved transmittance distribution estimation algorithm for nighttime image dehazing to solve lack of detailed information and serious damage to the texture of light source areas when the dark channel prior dehazing algorithm processes foggy images at night. An improved transmittance distribution was obtained by introducing a dark state point light source model, a dark channel credibility weight factor, and a pseudo dehazing image, combined with a nighttime image imaging model, and the dehazed image at night was dehazed. The experimental results showed that the image processed by using the proposed algorithm had little loss in texture details and high image definition, and the contrast between the light and dark of the image was better stretched, which effectively dehazed a foggy image at night.