Authors:
Sheng Zhang
and
Wencang Bai
Affiliation:
Tsinghua University, China
Keyword(s):
Single Image Dehazing, Dark Channel Prior, Different Atmospheric Light.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Coding and Compression
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Multimodal and Multi-Sensor Models of Image Formation
Abstract:
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.