计算机应用与软件2018，Vol.35Issue(3)：209-214,274,7.DOI:10.3969/j.issn.1000-386x.2018.03.040
基于高亮区域自适应处理的监控图像去雾算法
IMAGE HAZE REMOVAL METHOD BASED ON HIGHLIGHTED AREA ADAPTIVE PROCESSING
李云峰 1张澎悦2
作者信息
- 1. 河南科技大学机电工程学院 河南洛阳471003
- 2. 机械装备先进制造河南省协同创新中心 河南洛阳471003
- 折叠
摘要
Abstract
Aiming at the monitor image distortion problem of the existing image de-fogging algorithm, a monitoring image de-fogging algorithm with highlight area adaptive processing was proposed.Firstly, the highlighted area was divided by adaptive recognition,and the value of the atmospheric light intensity parameter was optimized according to the proportion of the image occupied by the highlighted area.Secondly, under the condition of dark channel prior, the modified atmospheric light intensity parameters and the directional filter were used to calculate the transmittance and refined the edge.At last,the adaptive tolerance mechanism was introduced to recover the atomized image,and then the restored atomized image was color-enhanced.The experimental results showed that the algorithm could eliminate the color distortion and block edges of the restored image, and the halo of highlighted area was avoided largely.The sky area recovery quality was protected to keep the image clear and natural,so that the visibility of de-fogging image was elevated obviously.关键词
暗原色先验/自适应识别/大气光强/透射率/图像去雾Key words
Dark channel prior/Self-adapting recognition/Atmospheric light/Transmission/Image haze removal分类
信息技术与安全科学引用本文复制引用
李云峰,张澎悦..基于高亮区域自适应处理的监控图像去雾算法[J].计算机应用与软件,2018,35(3):209-214,274,7.
