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Real-Time Video Edge Enhancement IP Core Based on FPGA and Sobel Operator

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Cyber Security Intelligence and Analytics (CSIA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 928))

Abstract

In order to solve the problems of inefficient retrieval target, visual fatigue and complex algorithm implementation in the monitoring system, this paper proposes an innovative method of image edge enhancement by superimposing edge detection image and source image. Based on this idea, an IP module of edge detection and visual enhancement was designed. This module realized Sobel edge detection algorithm, video alignment and video superposition. I did algorithm verification and code generation on Matlab, and generated IP core in Vivado development environment of Xilinx. The experimental results showed that the system could achieve real-time video processing and enhance the effect of displaying video targets.

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References

  1. Wang H, Zhang Y, Shen H, Zhang J (2017) An overview of image enhancement algorithms. Chin Opt 10(4)

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  2. Liu B, Gao L (2016) Sobel image edge detection method based on FPGA. Appl Sci Technol 43(6):59–61

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Author information

Authors and Affiliations

  1. Shandong University, Jinan, China

    Boyang Liu

Authors
  1. Boyang Liu
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Corresponding author

Correspondence to Boyang Liu .

Editor information

Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Zheng Xu

  2. University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. University of Guelph, Guelph, ON, Canada

    Ali Dehghantanha

  4. Kennesaw State University, Marietta, GA, USA

    Reza Parizi

  5. Manchester Metropolitan University, Stockport, UK

    Mohammad Hammoudeh

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Liu, B. (2020). Real-Time Video Edge Enhancement IP Core Based on FPGA and Sobel Operator. In: Xu, Z., Choo, KK., Dehghantanha, A., Parizi, R., Hammoudeh, M. (eds) Cyber Security Intelligence and Analytics. CSIA 2019. Advances in Intelligent Systems and Computing, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-030-15235-2_19

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