基于Xilinx Zynq平台的高电平合成视频边缘检测硬件加速

IF 1.5 0 ENGINEERING, MULTIDISCIPLINARY
T. Saidani, R. Ghodhbani
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引用次数: 1

摘要

本文中进行的研究包括验证fpga上实时图像和视频处理应用的快速原型设计的原始设计流程。利用Simulink HDL编码器和Vivado高级合成(High-Level Synthesis, HLS)设计了一个边缘检测视频应用程序,就好像代码将在传统处理器上执行一样。所开发的工具将使用高级编译技术自动将代码翻译成VHDL硬件语言。这相当于以最佳方式在赛灵思Zynq-7000系统单片(SoC)设备上嵌入处理器。这种自动化的硬件设计流程减少了创建原型的时间,因为只需要高层次的描述。视频边缘检测系统的设计在Xilinx Zynq-7000平台上实现。在170MHz频率下,实现了有效的资源利用和良好的帧率(95 FPS)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware Acceleration of Video Edge Detection with Hight Level Synthesis on the Xilinx Zynq Platform
The study conducted in the current paper consists of validating an original design flow for the rapid prototyping of real-time image and video processing applications on FPGAs. A video application for edge detection with Simulink HDL coder and Vivado High-Level Synthesis (HLS) has been designed as if the code was going to be executed on a conventional processor. The developed tools will automatically translate the code into VHDL hardware language using an advanced compilation technique. This amounts to embedding processors on Xilinx Zynq-7000 System on-Chip (SoC) device in an optimal manner. This automated hardware design flow reduces the time to create a prototype since only the high-level description is required. The design of the video edge detection system is implemented on Xilinx Zynq-7000 platform. The result of the implementation gave effective resource utilization and a good frame rate (95 FPS) under 170MHz frequency.
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来源期刊
Engineering, Technology & Applied Science Research
Engineering, Technology & Applied Science Research ENGINEERING, MULTIDISCIPLINARY-
CiteScore
3.00
自引率
46.70%
发文量
222
审稿时长
11 weeks
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