微型机与应用2017，Vol.36Issue(8)：45-47,3.DOI:10.19358/j.issn.1674-7720.2017.08.015
改进的暗原色先验单幅行车视频图像去雾方法
Improved dark channel prior single traffic video images dehazing method
熊彪 1黄志勇 1田超 1占静1
作者信息
- 1. 三峡大学 计算机与信息学院,湖北 宜昌 443002
- 折叠
摘要
Abstract
The existing dark colors prior defogging method is facing some problems that the estimates of transmittance were too low, low efficiency and so on,when being in the local bright area.In order to realize the rapid defogging for haze images in video traffic single,an improved method of dehazing is proposed.When the method in handling different pixel, by setting the threshold value, for the region in line with the threshold value within a range of maintaining the original transmission rate unchanged, boundary conditions are limited to areas that are not within the range of threshold values.Combined with the adjustment parameters to recalculate the transmittance, more accurate adaptive transmission diagram can be obtained.Result shows that after treatment with this method, effectively corrected the misjudgment of atmospheric light can be obtained.It eliminates the color distortion and the execution time of the algorithm is greatly reduced.关键词
图像去雾/暗通道先验/门限/透射率/大气光Key words
image dehazing/dark channel prior/threshold/transmissivity/atmospheric light分类
信息技术与安全科学引用本文复制引用
熊彪,黄志勇,田超,占静..改进的暗原色先验单幅行车视频图像去雾方法[J].微型机与应用,2017,36(8):45-47,3.
