To address the problem that the dark channel prior algorithm will produce artifacts and residual fog, a dehazing method was proposed based on double dark channel and Gaussian weighting, which use superpixel block filtering and median block filtering to obtain two layers of dark channels, respectively. Then a pixel-level fusion was performed on the two-layer dark channels and a Gaussian weighting function was constructed for enhancement. The white area that contains the sky was extracted based on the HSV color space and the average value of the brightness component of the top 10% of the pixels in the white area was taken as the atmospheric light. Experimental results demonstrate that the proposed algorithm can preserve details and remove residual fog while improving artifacts.