Abstract:The quality of video with low lighting is always pessimistic. Many images have low contrast, blurry edges, and low brightness. These situations will bring inconvenience to subsequent processing. For solving these problems, an improved algorithm named low lighting video enhancement algorithm based on dark channel prior is presented. Firstly, the input image is inverted, and then dehazed. Atmospheric light is estimated by the maximum value of dark channel in input image. At the same time, the refractive index t is calculated and optimized with fast guided filter, which help realizing edge-ware and denoising. Finally, the image is inverted again. The result shows that the proposed algorithm can enhance the contrast of low lighting image, improve the brightness, and highlight the details of the edges of the image.