基于SoPC的视频图像快速去雾  

Fast dehazing for video image based on SoPC

作　　者：刘金华[1] 韦家军 孙梧雨 任雪美 廖鹏[2] 安必义 LIU Jinhua;WEI Jiajun;SUN Wuyu;REN Xuemei;LIAO Peng;AN Biyi(Department of Electronics Information,Communication University of Zhejiang,Hangzhou Zhejiang 310018,China;School of National Defence Sci.&Tech.,Southwest University of Sci.&Tech.,Mianyang Sichuan 621010,China)

机构地区：[1]浙江传媒学院电子信息系,浙江杭州310018 [2]西南科技大学国防科技学院,四川绵阳621010

出　　处：《太赫兹科学与电子信息学报》2019年第2期309-314,共6页Journal of Terahertz Science and Electronic Information Technology

基　　金：浙江省科技计划资助项目(2016C33040);四川省科技创新苗子工程重点基金资助项目(2017RZ0058);四川省科技创新苗子工程培育基金资助项目(2016012);四川省教育厅重点基金资助项目(16zd1121)

摘　　要：针对现有图像去雾算法时间复杂度高,难于实时处理的问题,提出一款基于片上可编程系统(SoPC)的视频图像快速去雾系统。介绍了平台的软件流程和硬件结构,对暗原色先验和导向滤波理论进行深入研究,并将暗原色先验和导向滤波算法移植到所设计的SoPC平台上进行测试。测试结果表明,该系统能满足视频图像实时去雾的要求,并且恢复的图像清晰,对比度好,颜色自然。A System on a Programmable Chip(SoPC) based fast dehazing system for video image is proposed, aiming at the problems of high time-complexity and difficulties in real-time processing for existing algorithms. Firstly, the hardware structure and software process of the SoPC based platform are introduced. And then the algorithms of dark channel prior and guided filter are studied. At last, the algorithms are transplanted to the proposed platform. The experiment demonstrates that the system can meet the requirement of the real-time dehazing effectively,and restored images are pretty clear with fine contrast and natural color.

关 键 词：图像去雾 暗原色先验 导向滤波 片上可编程系统 

分 类 号：TN791[电子电信—电路与系统] TP37[自动化与计算机技术—计算机系统结构]