Real-Time Video Streaming Application of Improved Sobel Algorithm Based on FPGA.

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Title: Real-Time Video Streaming Application of Improved Sobel Algorithm Based on FPGA.
Authors: Xu, Shichao1 1051754173@qq.com, Ning, Keqing2 ningkq@ncut.edu.cn, Guo, Wei3 xiaoshenghameng@163.com, Wei, Bowen4 wbw060323@163.com, Ren, Pengyu5 1179825666@qq.com
Source: IAENG International Journal of Computer Science. Jun2026, Vol. 53 Issue 6, p2425-2434. 10p.
Subjects: Edge detection (Image processing), Field programmable gate arrays, Image processing, Streaming media, Signal denoising
Abstract: Real-time edge detection in video streams remains challenging due to noise interference, limited gradient directions of traditional Sobel operators, and the difficulty of selecting an appropriate global threshold. To address these issues, this paper presents a real-time edge detection architecture that integrates an adaptive median filter with an eight-direction Sobel operator on an FPGA platform. The adaptive median filter dynamically switches between 3×3 and 5×5 windows to suppress impulse noise while preserving image details. Its output is further incorporated into the adaptive threshold computation for the Sobel operator, removing the need for manual parameter adjustment. Additionally, the extension from two to eight gradient directions enhances edge continuity and robustness in complex scenes. The proposed system is implemented on an Altera Cyclone IV FPGA using a fully pipelined, modular architecture. Experimental results from MATLAB simulations and on-board verification demonstrate that the proposed design achieves clearer edges, fewer false detections, and better continuity than the traditional Sobel operator, while maintaining real-time performance for video applications. [ABSTRACT FROM AUTHOR]
Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Real-Time Video Streaming Application of Improved Sobel Algorithm Based on FPGA.
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  Data: <searchLink fieldCode="AR" term="%22Xu%2C+Shichao%22">Xu, Shichao</searchLink><relatesTo>1</relatesTo><i> 1051754173@qq.com</i><br /><searchLink fieldCode="AR" term="%22Ning%2C+Keqing%22">Ning, Keqing</searchLink><relatesTo>2</relatesTo><i> ningkq@ncut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Guo%2C+Wei%22">Guo, Wei</searchLink><relatesTo>3</relatesTo><i> xiaoshenghameng@163.com</i><br /><searchLink fieldCode="AR" term="%22Wei%2C+Bowen%22">Wei, Bowen</searchLink><relatesTo>4</relatesTo><i> wbw060323@163.com</i><br /><searchLink fieldCode="AR" term="%22Ren%2C+Pengyu%22">Ren, Pengyu</searchLink><relatesTo>5</relatesTo><i> 1179825666@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Computer+Science%22">IAENG International Journal of Computer Science</searchLink>. Jun2026, Vol. 53 Issue 6, p2425-2434. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Edge+detection+%28Image+processing%29%22">Edge detection (Image processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Field+programmable+gate+arrays%22">Field programmable gate arrays</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Streaming+media%22">Streaming media</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+denoising%22">Signal denoising</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Real-time edge detection in video streams remains challenging due to noise interference, limited gradient directions of traditional Sobel operators, and the difficulty of selecting an appropriate global threshold. To address these issues, this paper presents a real-time edge detection architecture that integrates an adaptive median filter with an eight-direction Sobel operator on an FPGA platform. The adaptive median filter dynamically switches between 3×3 and 5×5 windows to suppress impulse noise while preserving image details. Its output is further incorporated into the adaptive threshold computation for the Sobel operator, removing the need for manual parameter adjustment. Additionally, the extension from two to eight gradient directions enhances edge continuity and robustness in complex scenes. The proposed system is implemented on an Altera Cyclone IV FPGA using a fully pipelined, modular architecture. Experimental results from MATLAB simulations and on-board verification demonstrate that the proposed design achieves clearer edges, fewer false detections, and better continuity than the traditional Sobel operator, while maintaining real-time performance for video applications. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 2425
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      – SubjectFull: Edge detection (Image processing)
        Type: general
      – SubjectFull: Field programmable gate arrays
        Type: general
      – SubjectFull: Image processing
        Type: general
      – SubjectFull: Streaming media
        Type: general
      – SubjectFull: Signal denoising
        Type: general
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      – TitleFull: Real-Time Video Streaming Application of Improved Sobel Algorithm Based on FPGA.
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            NameFull: Xu, Shichao
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            NameFull: Ning, Keqing
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            NameFull: Guo, Wei
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            NameFull: Wei, Bowen
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            NameFull: Ren, Pengyu
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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