Abstract: Aiming at the problem of chromatic aberration and poor definition between fog image and dust image, we proposed an enhancement 
algorithm of fog image and dust image. Firstly, the grayscale world algorithm was used to solve the chromatic aberration problem of dust image in Lab color space, the dust image and fog image after adjusting the chromatic aberration were converted to HSV color space to improve the saturation and contrast of the image respectively. Secondly, the Laplacian operator was used to detect the blur degree of the image. For the image with high blur degree, the weighted least squares filtering algorithm was used to remove the fuzzy features and further improve the visibility of the image. Finally, a comparative experiment was carried out with the existing fog removal algorithm and dust enhancement algorithm. The experimental results show that the algorithm can better restore the color of the image and effectively improve the image definition.

Key words: image enhancement, color restoration, chromatic aberration adjustment, weighted least squares filtering