[1]李朗[],张索非[],杨浩[]. 基于Zynq-7000的视频处理系统框架设计[J].计算机技术与发展,2017,27(05):192-195.
　LI Lang[],ZHANG Suo-fei[],YANG Hao[]. Design of Video Processing System Framework with Zynq-7000[J].,2017,27(05):192-195.
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 基于Zynq-7000的视频处理系统框架设计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年05期
页码:
192-195
栏目:
应用开发研究
出版日期:
2017-05-10

文章信息/Info

Title:
 Design of Video Processing System Framework with Zynq-7000
文章编号:
1673-629X（2017)05-0192-04
作者:
 李朗[1]; 张索非[2]; 杨浩[1]
 1.南京邮电大学 电子科学与工程学院；2.南京邮电大学 物联网学院
Author(s):
 LI Lang[1]; ZHANG Suo-fei[2] ; YANG Hao[1]
关键词:
 ; Zynq-7000 ; 图像采集; 图像处理; 软硬件协同
Keywords:
 ; Zynq-7000; image acquisition; image processing; synergy of software and hardware
分类号:
TP302
文献标志码:
A
摘要:
 随着嵌入式机器视觉技术的不断发展,对视频数据带宽、处理速度和数据精度的要求越来越高.针对当前基于ARM及DSP的嵌入式图像处理系统存在的采集速度慢、带宽有限等缺点,提出了一个基于内部集成ARM+FPGA结构的Zynq-7000芯片且能够实现软硬件协同工作的视频处理系统框架.该系统框架采用FPGA并行处理算法实现图像预处理环节,采用ARM处理器进行程序流程控制以及实现复杂的图像识别算法,通过DDR缓存以实现软件与硬件的协同工作,在保证处理速度与带宽的基础上兼顾了系统功能的灵活性,并且降低了系统功耗.测试验证结果表明,所提出的系统框架不仅可以提供高速彩色图像采集和预处理的方案,同时还可以实现高性能的中端图像处理算法,并能够将结果快速送达显示端显示.
Abstract:
 With the continuous development of embedded machine vision technology,the requirement of video data bandwidth,processing speed and data accuracy has become higher and higher.Current embedded image processing system are mainly based on ARM with DSP framework.Such designs normally come with deficiencies as low acquisition speed and limited processing bandwidth.To address this problem,Zynq-7000 has been adopted to realize a video processing framework by synergy of FPGA as hardware and ARM as software.FPGA acts as an implementation of parallelized image preprocessing algorithm as well as ARM processing unit to control the program flow and to implement the complex image processing algorithms are integrated in this framework.A DDR buffer has been exploited to coordinate the hardware and software.Such synergy ensures the processing efficiency and bandwidth of system,while considering the flexibility of system simultaneously.The experimental results show that not only can the design provide a high speed color image acquisition and preprocessing,but also can implement a high performance image processing algorithm with video display of graphic results.

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更新日期/Last Update: 2017-07-07