摘要
基于暗通道理论,提出一种改进的单幅图像去雾算法,对雾化图像快速去雾.改进算法采用自适应中值滤波与双边滤波相结合的方法,计算边缘细致清晰的暗通道,根据雾天成像的物理模型估算透射图.与传统算法相比,估算出的透射图细致清晰,无需优化,克服了传统算法用大量时间优化透射图的缺点,大幅降低了算法的复杂度.试验结果表明,该算法可以实现对单幅图像的高质量快速去雾.
An improved haze removal algorithm from a single image is proposed on the basis of dark channel prior,which can remove haze very fast from the haze image.The very fine,dark channel is calculated with a kind of adaptive median filter and the bilateral filter.The transmission can be estimated according to the physical model of imaging in haze.And it is also fine compared with the transmission estimated by the original algorithm,so that it could be without optimization,and a lot of time is saved,which is spent on refining the transmission by the original algorithm.The complexity of the algorithm is reduced significantly.The experimental results show that the haze image is dehazed very fast with a good quality by the algorithm.
作者
师晓丹
陈震
Shi Xiaodan;Chen Zhen(Information Technology and Media College of Beihua University,Jilin 132013,China)
出处
《北华大学学报（自然科学版）》
CAS
2017年第6期835-840,共6页
Journal of Beihua University（Natural Science）
基金
吉林市科技局杰出青年研究项目(20156412)
北华大学校级青年项目(XJQN2017023)
关键词
图像复原
去雾
暗通道优先
自适应中值滤波
双边滤波
image restoration
dehazing
dark channel prior
adaptive median filter
bilateral filter
