电讯技术2018，Vol.58Issue(6)：714-720,7.DOI:10.3969/j.issn.1001-893x.2018.06.016
结合暗通道先验和MRF理论的单幅图像去雾算法
A Single Image Dehazing Algorithm Based on Dark Channel Prior and MRF Theory
摘要
Abstract
Aiming at the problems that the quality of image obtained in the haze environment is seriously degraded and existing algorithms can't preserve the details of image,this paper proposes an image dehazing algorithm based on Dark Channel Prior( DCP) and Markov Random Field( MRF) theory. Firstly,the Par-tially Overlapped Sub-block Histogram( POSHE) algorithm is used to improve the contrast of the original fog image. Meanwhile,the optimized transmission map is obtained by DCP algorithm. Then,the constraint characteristics of MRF model are adopted to model the transmission map for refining it. Finally,the block search method is used to get the atmospheric light value based on the characteristics of the sky domain. Compared with traditional methods,the proposed method can obtain more accurate transmission map and ef-fectively preserve the structure information of image. The restored image presents rich details and realistic color visual effects.关键词
图像去雾/暗通道先验/马尔可夫随机场/分块搜索法/直方图均衡Key words
image dehazing/dark channel prior(DCP)/Markov random field(MRF)/block search meth-od/histogram equalization分类
信息技术与安全科学引用本文复制引用
吴翠先,左星..结合暗通道先验和MRF理论的单幅图像去雾算法[J].电讯技术,2018,58(6):714-720,7.基金项目
重庆市研究生科研创新基金资助项目(CYS15166) （CYS15166）
