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机构地区:[1]南京理工大学计算机科学与工程学院,江苏南京210094
出 处:《计算机与现代化》2015年第8期43-47,共5页Computer and Modernization
摘 要:从芯片的角度深入分析当前图像处理系统的特点,针对当前基于ARM的嵌入式图像处理系统前端采集速度慢和中端图像处理算法不易采用FPGA硬件加速的缺点,为提高前端的采集速度,也为方便中端对各种图像处理算法进行FPGA硬件加速和后端传输显示的设计,选用内部集成有ARM+FPGA体系结构的Zynq芯片,利用软硬协同设计的方法完成图像处理系统平台原型机的设计,并分析该系统平台的性能。测试结果表明,系统平台的前端采集速度较单纯使用ARM芯片的方案提高了234倍,也为各种中端图像处理算法提供了可扩展的FPGA硬件加速通道,同时还为后端结果显示提供了良好支持。From the angle of the chip, the characteristics of the current image processing system were deeply analyzed. Aiming at the shortcomings of the current embedded image processing system based on ARM that in the anterior the acquisition speed is slow and in the middle the image processing algorithms are not easy to be accelerated by FPGA hardware, in order to improve the speed of the anterior acquisition, also in order to facilitate various image processing algorithms to be accelerated by FPGA hardware in the middle and the design of the transmission and display in the posterior, Zynq chip whose internal integrated ARM and FPGA architecture was selected, a image processing system platform prototype was designed by software and hardware co-design method, and the performance of the system platform was analyzed. Test results show that, the anterior acquisition speed of the system platform compared with the use of pure ARM chip solution is improved by 234 times, the system platform also provides extensible FPGA hardware accelerated channel for the middle image processing algorithms, and also provides good support for the posterior results show.
分 类 号:TP274[自动化与计算机技术—检测技术与自动化装置]
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