计算机工程与应用2017，Vol.53Issue(19)：192-197,6.DOI:10.3778/j.issn.1002-8331.1611-0236
涉及景深的雾天图像增强的偏微分方程模型
Partial differential equation model involving depth of scene for hazy image enhancement
摘要
Abstract
A new method for single hazy traffic image enhancement is proposed. The relationships between original image gradient field and ideal image gradient field are obtained by calculating gradient on both sides of atmospheric scattering physical model, then the recovery of the ideal image is turned into extremum problem of functional about gradient energy, finally the partial differential equation model is obtained through variational method. Using the dark channel prior, two transmission maps based patch dark channel and point dark channel can be estimated respectively, then each of them are processed by fast wavelet transform. Afterwards, the high-frequency component which comes from the transmission map of point dark channel and low-frequency component which comes from the transmission map of patch dark channel are extracted. Finally, a high quality ideal image can be obtained by solving the Euler equation by finite difference method. A comparative experiment with a few other state of the art algorithms shows that the algorithms can improve the quality of hazy image effectively, especially for hazy image which slants dark.关键词
雾天交通图像/图像增强/大气物理散射模型/暗原色先验/偏微分方程Key words
hazy traffic image/image enhancement/image degradation model/dark channel prior/partial differential equation分类
信息技术与安全科学引用本文复制引用
薛文丹,赵凤群..涉及景深的雾天图像增强的偏微分方程模型[J].计算机工程与应用,2017,53(19):192-197,6.基金项目
陕西科学技术攻关项目(No.2015GY004). （No.2015GY004）
