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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wang H, Zhang Y, Shen H, Zhang J (2017) An overview of image enhancement algorithms. Chin Opt 10(4)
Liu B, Gao L (2016) Sobel image edge detection method based on FPGA. Appl Sci Technol 43(6):59–61
Sun B, Leng J, Zhao J Research on Sobel edge detection algorithm based on FPGA. Chem Autom Instrum 45
Jiao S, Guan C (2014) FPGA implementation of Sobel edge detection for real-time video signals. Electron Sci Tech
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-15235-2_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-15234-5
Online ISBN: 978-3-030-15235-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)