Haze removal method based on a variation function and colour attenuation prior for UAV remote-sensing images

ABSTRACT

Aiming at the problem of low visibility of images obtained by UAV in hazy weather, this paper proposes an image dehazing algorithm based on variation function and colour attention prior. A large number of experiments have proved that the sky or other bright regions could affect the estimation of atmospheric light and transmittance. In the experiment, our proposed algorithm divides the images into sky and dark regions and uses the pixels of the dark region to solve the atmospheric light value. According to the region where the pixels are located, the transmittances of the pixels in the sky and non-sky regions are separately estimated and adjusted. The experiment’s results show that the restored image visibility, information entropy and colour saturation are significantly improved, and the algorithm’s computational efficiency is high.

KEYWORDS:

• Variation
• colour attenuation prior
• image processing
• dehazing
• computer simulation

ORCID

Jing Song http://orcid.org/0000-0001-7921-3049

Additional information

Funding

This project supported by the National Natural Science Foundation of China [grant number 61402052]; the Fundamental Research Funds for the Central Universities of China by the Ministry of Education and the Ministry of Finance of China [grant number 300102328204].