Hardware Acceleration of Video Edge Detection with Hight Level Synthesis on the Xilinx Zynq Platform

IF 1.5 0 ENGINEERING, MULTIDISCIPLINARY Engineering, Technology & Applied Science Research Pub Date : 2022-02-12 DOI:10.48084/etasr.4615
T. Saidani, R. Ghodhbani
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引用次数: 1

Abstract

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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基于Xilinx Zynq平台的高电平合成视频边缘检测硬件加速
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)。
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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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