摘要
为解决传统暗原色先验去雾算法运算速度慢,处理结果中天空区域易失真的问题,提出了一种基于阈值分割的暗原色先验图像去雾方法。首先利用阈值分割将天空区域初步分割,然后引入参数K对天空区域再分割,精细透射率,解决了天空区域失真问题,同时利用快速双边滤波降低算法复杂度,提高了运算速度,最后通过Gray World假设进行图像增强,提高了复原图像的清晰度和色彩保真度,得到更为清晰的复原图像。
To solve the problem of the slow speed convergence and the distortion in the sky region,a dark channel priorhaze removal based on threshold segmentation is proposed.Firstly,the sky region is divided by threshold segmentation.Secondly,utilizing parameter K,fundamentally calculating the transmissivity to solve the distortion in the sky region.Meanwhile,the fast bilateral filtering algorithm reduces time consumption,and improves the convergence speed.Finally,the Gray World algorithm is adopted to improve image quality.
作者
苏晋鹏
陈恩俊
景嘉帅
王文君
王之彦
孙云山
SU Jinpeng;CHEN Enjun;JING Jiashuai;WANG Wenjun;WANG Zhiyan;SUN Yunshan(School of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China)
出处
《计算机工程与应用》
CSCD
北大核心
2017年第3期205-210,共6页
Computer Engineering and Applications
基金
国家级大学生创新创业训练计划项目(No.201410069033)
中国博士后基金(No.2013M530873)
