基于FPGA的交通视频快速去雾系统的设计与实现

TN911.73; 针对雾天交通监控视频图像退化问题,提出了一种基于FPGA架构的雾天交通视频图像快速去雾系统.首先将采集到的实时图像数据缓存到SDRAM中,然后在亮度分量基础上估计传播图,最后基于大气散射模型复原清晰图像.该系统利用FPGA并行运算处理能力强、逻辑资源丰富等特性,针对PAL制式640×480彩色图像,处理速度为60帧/s.实验结果表明,该系统在保证输出视频质量的前提下达到了很好的去雾效果....

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Bibliographic Details
Published in电子技术应用 Vol. 43; no. 6; pp. 71 - 74
Main Author 高全明 孙俊喜 刘广文 才华 陈广秋
Format Journal Article
LanguageChinese
Published 长春理工大学 电子信息工程学院,吉林 长春,130022%东北师范大学 计算机科学与信息技术学院,吉林 长春,130117 2017
Subjects
FPGA
交通视频
大气散射模型
快速去雾
硬件系统
traffic videos
atmosphere scattering model
FPGA
大气散射模型
快速去雾
hardware system
硬件系统
交通视频
high speed fog removal
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ISSN0258-7998
DOI10.16157/j.issn.0258-7998.2017.06.018

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Summary:TN911.73; 针对雾天交通监控视频图像退化问题,提出了一种基于FPGA架构的雾天交通视频图像快速去雾系统.首先将采集到的实时图像数据缓存到SDRAM中,然后在亮度分量基础上估计传播图,最后基于大气散射模型复原清晰图像.该系统利用FPGA并行运算处理能力强、逻辑资源丰富等特性,针对PAL制式640×480彩色图像,处理速度为60帧/s.实验结果表明,该系统在保证输出视频质量的前提下达到了很好的去雾效果.
Bibliography:FPGA ; traffic videos ; high speed fog removal ; hardware system ; atmosphere scattering model
To solve the problem of unclearness of traffic surveillance video image in foggy days, the paper puts forward a fog removal system in traffic surveillance video image based on FPGA. Firstly, cacheing the collected real-time image data to SDRAM, then estimating the spreading images by using the luminance component, finally recovering the original explicit images based on the atmospheric scattering model. With the characteristics of powerful process ability and richful logic resource of FPGA, the processing speed of image is 60 frames per second for a 640x480 PAL corlor image. The result shows that the system can better remove the fog in video image on the premise of outputing a high qualified vedio image.
Gao Quanming1, Sun Junxi2, Liu Guangwen1, Cai nua1,Chen Guangqiu1 （ 1 .School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China ; 2.School of Computer Scien
ISSN:0258-7998
DOI:10.16157/j.issn.0258-7998.2017.06.018