南京理工大学学报（自然科学版）2019，Vol.43Issue(5)：592-599,8.DOI:10.14177/j.cnki.32-1397n.2019.43.05.008
基于天空区域分割和多尺度融合的单幅雾天图像复原算法
Single image dehazing with sky region segmentation and multi-scale fusion
摘要
Abstract
To deal with the problems of hue phenomenon and brightness distortion in the related dark channel theory algorithm,the single fog image restoration algorithm with the sky region segmentation and multi-scale fusion is proposed. Firstly,the global atmospheric light is effectively obtained in the sky regions with characteristics of scaled hazy images. To properly optimize the transmission, an initial dark channel image is contructed,and the L0 gradient minimization method is used to obtain the optimized transmission image. Finally,the fusion theory is applied to further modify the transmit-tance image,and the dehazing image is obtained. The subjective observation and objective evaluation show that,the algorithm is better than the classic dark channel algorithm and the improved algorithm in the overall and details.关键词
图像去雾/天空区域分割/多尺度融合/L0梯度最小化/暗通道算法Key words
image dehazing/sky region segmentation/multi-scale fusion/L0 gradient minimization/dark channel theory分类
信息技术与安全科学引用本文复制引用
潘健鸿,高银..基于天空区域分割和多尺度融合的单幅雾天图像复原算法[J].南京理工大学学报（自然科学版）,2019,43(5):592-599,8.基金项目
质检总局科技计划项目(2017QK151) （2017QK151）
