Improved Single Image Dehazing using Dark Channel Prior
Atmospheric conditions induced by suspended particles, such as fog and haze, severely degrade image quality. Haze removal from a single image of a weatherdegraded scene remains a challenging task, because the haze is dependent on the unknown depth information. In this paper, we introduce an improved single image dehazing algorithm which based on the atmospheric scattering physics-based models. We apply the local dark channel prior on selected region to estimate the atmospheric light, and obtain more accurate result. Experiments on real images validate our approach.
dehazing dark channel atmosphere scattering model atmospheric light
Yan Wang Bo Wu
College of Physics and Information Engineering Henan Normal University Xinxiang, China
国际会议
厦门
英文
789-792
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）