基于FPGA的图像高速去雾实时系统设计实现  

Design and Implementation of High-speed Real-time Image Dehaz-ing System Based on FPGA

作　　者：周晓波[1] 何魁华 周聪 ZHOU Xiaobo1,HE Kuihua1,ZHOU Cong2(1.School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing 100044,China;2.School of Software,Beihang University,Beijing 100083,Chin)

机构地区：[1]北京交通大学电子信息工程学院,北京100044 [2]北京航空航天大学软件学院,北京100083

出　　处：《电视技术》2018年第4期67-72,共6页Video Engineering

摘　　要：雾霾使光照条件恶劣,导致采集的视频图像失真。为了解决这个问题,本文采用Altera公司的Cyclone IV系列现场可编程门阵列(Field-Programmable Gate Array,FPGA)芯片作为核心,设计了支持多种分辨率的图像高速去雾实时系统。通过RAM的乒乓操作缓存高速数据流,并利用流水线处理的优势实现了限制对比度自适应直方图均衡化(Contrast Limited Adaptive His-togram Equalization,CLAHE)算法的流程。实验结果表明,该系统能处理高达75帧/秒的视频图像,具有良好的实时去雾功能。Haze makes the lighting conditions poor,resulting in the acquisition of video image distortion. In order to solve the problem,a high-speed real-time image dehazing system applied for multiple reso-lutions,which is based on the Cyclone IV FPGA chip of Altera company,is implemented in this the-sis. The high-speed data stream is buffered through the ping-pong operation of RAM,and the pro-cess of Contrast Limited Adaptive Histogram Equalization（ CLAHE） algorithm is realized by using the advantages of pipeline processing. Experimental results show that the system achieves a good re-al-time dehazing function and can process video images up to 75 frames/sec.

关 键 词：CLAHE 去雾 FPGA 乒乓操作 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]