摘要
有雾天气情况下拍摄的视频成像质量退化严重,极大地影响了安防监控、视觉导航等系统的整体性能。面向DSP嵌入式平台,提出一种实时监控视频去雾系统实现方案。首先在暗通道先验单幅图像去雾的基础上,提出了一种监控视频去雾算法;其次,基于TMS320DM6467处理器的硬件资源,对视频格式转换、除法运算、透射率计算、数据搬移等环节进行代码优化,最终在硬件平台上实现了整体系统。实测结果表明,对于D1格式的视频,在兼顾去雾质量的同时,达到了实时处理要求。
The quality of video image is seriously degraded in foggy weather,which greatly affects the overall performance of the system,such as security monitoring,visual navigation and so on.Based on DSP embedded platform,an implementation scheme of real time video defogging system is proposed.Firstly,on the basis of single image fog removal method using dark channel prior,an algorithm is designed to eliminate fog in the video.Second,based on the hardware resources of TMS320DM6467 processor,several strategies for code acceleration are adopted,such as video format conversion,division operation,transmittance calculation,data transmission and so on.Finally,for Dl format video,the proposed scheme achieves real-time processing on the embedded hardware platform.
出处
《测控技术》
CSCD
2016年第12期7-10,15,共5页
Measurement & Control Technology
基金
国家自然科学基金(61531006
61372149
61370189
61471013)
北京市属高等学校高层次人才引进与培养计划项目(CIT&TCD20150311
CIT&TCD201404043)
北京市自然科学基金资助项目(4142009
4163071)
北京市教育委员会科技发展计划项目资助(KM201410005002
KM201510005004)
北京市属高等学校人才强教计划资助项目PHR(IHLB)
关键词
视频
去雾
嵌入式系统
视频处理
video
defogging
embedded system
video processing