Single Image Dehazing based on Dark Channel Prior with Different Atmospheric Light
Sheng Zhang, Wencang Bai · 2017
Single image dehazing based on dark channel prior could recover a high-quality haze-free image from non-sky image. However, it does not perform well in bright region such as sky region. This paper proposes a novel method for single image dehazing, which jointly considers the atmospheric lights of sky regions and land surface. In this proposal, we divide the image with sky regions into bright image (such as sky region and artificial light) and dark image (such as natural outdoor scenery and buildings) according to the image saturation, the intensity of pixels and Rayleigh scattering theory. In the recovery processing, bright image and dark image can be recovered separately with different parameters of atmospheric light. The experimental results show that the proposed scheme can obtain a high-quality haze-free image in the images which cover the sky.