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

Authors

  • T. Saidani Department of Computer Science, Faculty of Computing and Information Technology, Northern Border University, Saudi Arabia | Laboratory of Electronics and Microelectronics, Faculty of Sciences of Monastir, University of Monastir, Tunisia
  • R. Ghodhbani Department of Computer Science, Faculty of Computing and Information Technology, Northern Border University, Saudi Arabia | Laboratory of Electronics and Microelectronics, Faculty of Sciences of Monastir, University of Monastir, Tunisia
Volume: 12 | Issue: 1 | Pages: 8007-8012 | February 2022 | https://doi.org/10.48084/etasr.4615

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.

Keywords:

high-level synthesis, automated hardware design, co-design, Xilinx Zynq-7000

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References

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How to Cite

[1]
Saidani, T. and Ghodhbani, R. 2022. Hardware Acceleration of Video Edge Detection with Hight Level Synthesis on the Xilinx Zynq Platform. Engineering, Technology & Applied Science Research. 12, 1 (Feb. 2022), 8007–8012. DOI:https://doi.org/10.48084/etasr.4615.

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