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作 者:钱成铎 方振国[1] 汪珺 严寒 QIAN Cheng-duo;FANG Zhen-guo;WANG Jun;YAN Han(College of Physics and Electronic Information,Huaibei Normal University,Huaibei 235000,China)
机构地区:[1]淮北师范大学物理与电子信息学院,安徽淮北235000
出 处:《长春师范大学学报》2021年第12期29-36,共8页Journal of Changchun Normal University
基 金:教育部产学研项目“基于深度学习的高速三维立体表面缺陷检测”(2019ITA01041);安徽省质量工程项目“基于‘三全育人’理念的电子信息专业综合型人才培养模式探索与实践”(2020jyxm1668);安徽省质量工程项目“温度隔离变送器虚拟仿真实验”(2019xfxm48)。
摘 要:针对图像及视频信息的高速采集处理问题,提出一种基于FPGA的硬件数据加速方法,将采集的数据通过高速内存DDR3与FPGA硬件逻辑资源进行数据的异构传输交换,自主设计了ARM端与FPGA端的数据转换接口,实现数据信息采集与处理的无缝对接,有效地提升了转换速率,并降低了系统功耗,最后通过ZYNQ-7000设计了图像采集处理系统,验证了异构平台之间高速数据交换的有效性和准确性。Aiming at the problem of high-speed acquisition and processing of image and video information,a hardware data acceleration method based on FPGA was proposed in this paper.Firstly,the collected data was transmitted and exchanged heterogeneously by high-speed memory DDR3 and FPGA hardware logic resources.Secondly,the data conversion interface between ARM terminal and FPGA terminal was designed independently to achieve the seamless docking of data information collection and processing,which effectively improved the conversion rate and reduced the power consumption of the system.Finally,an image acquisition and processing system was designed by ZYNQ-7000,which verified the effectiveness and accuracy of high-speed data exchange between heterogeneous platforms.
分 类 号:TN402[电子电信—微电子学与固体电子学]
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