Nighttime Dehazing Algorithm with Adaptive Global Brightness Compensation

To address the problems of color distortion, heavy texture loss, and poor dehazing effect in the dehazing images of hazing nights, this study proposes a night-time dehazing algorithm. Adaptive global brightness compensation, homomorphic filtering, contrast limited adaptive histogram equalization algorithm, and joint bilateral filtering were used to process the hazing images, and the dehazing images were obtained by combining the atmospheric scattering model. The experimental results show that this method has a better night dehazing effect and faster processing speed than the comparison algorithms. The contrast, mean gradients, and entropy are improved, and the color distortion and texture loss are effectively reduced.