摘要
带雾视频需要实时的去雾算法。为了提高视频去雾的速度,根据视频中相邻帧之间的相关性,将一帧画面的大气光延用到其后的若干帧,设定了大气光重新计算的条件以解决光线发生突变的情况,并建立了像素灰度分布的模型来简化大气光的计算。在计算一帧图像的暗通道图时,先估算与前一帧暗通道图的差别,若差别不大,则对前一帧的暗通道图进行修正后作为本帧的暗通道图,否则重新计算暗通道图。实验证明该方法在保证去雾效果的前提下大幅减少了计算量。
Foggy video needs efficient and fast algorithm to defog. This paper proposed anapproach based on the dark channel prior knowledge and the correlations among adjacent frames to improve the video defogging speed.Once the atmospheric light is calculated, it is Invariable for several frames and the prerequisite for the recalculation of atmospheric light is proposed to solve the problem of light upheaval. We estimate the difference of two adjacent frames＇ dark channel graphs. If the different is not huge, the dark channel graph of the last frame is revised to get that of the new frame. Otherwise the dark channel graph is recalculated. Experiment results show that the approach ensures the effect of defogging and reduces the calculation load.
作者
贾银亮
冀凯伦
张驰宇
王平
Jia Yinliang;Ji Kailun;Zhang Chiyu;Wang Ping(College of Automation Engineering,Nanjing University of Aeronautics and Astronauties,Nanjing 21（）016,f.hina)
出处
《电子测量技术》
2018年第20期98-101,共4页
Electronic Measurement Technology
基金
基金委国家重大科研仪器研制项目(61527803)
科技部重大科学仪器设备开发专项(2016YFF0103702)
航空基金(2015ZF52067)
国家科技部重大开发专项(2016YFB1100205)
国家科技部国家质量基础的共性研究与应用重点研发专项(2017YFF0209700)资助
关键词
视频去雾
暗通道先验
大气散射模型
大气光
video defogging
dark channel prior
atmospheric scattering model
atmospheric light
