A hardware architecture design for real-time Gaussian filter

Sunmin Song; Sangjun Lee; Jae Pil Ko; Jae Wook Jeon

doi:10.1109/ICIT.2014.6895002

A hardware architecture design for real-time Gaussian filter

Sunmin Song, Sangjun Lee, Jae Pil Ko, Jae Wook Jeon

Department of Semiconductor Systems Engineering

Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

Abstract

The Gaussian Filter is one of the processing methods to smoothen images. Before detecting an object, this method is used as pre-processing, for eliminating useless detail, and connecting unnatural parts. We implemented a Gaussian Filter on FPGA, as that is the pre-processing system of the real time stereo vision system in this paper. The hardware implementation method saves the image in the Line Buffer for parallel processing of calculation, and sends the saved value to the Window Buffer, and then the result value of the passed Gaussian Filter is derived, through calculating the Gaussian mask and saved Window Buffer. This system receives the 640×480 image (25.4545MHz) from the CIS VCC-8350L camera, and transmits the blurred image to a monitor in real time (60fps).

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Industrial Technology
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	626-629
Number of pages	4
ISBN (Electronic)	9781479939398
DOIs	https://doi.org/10.1109/ICIT.2014.6895002
State	Published - 9 Sep 2014
Event	2014 IEEE International Conference on Industrial Technology, ICIT 2014 - Busan, Korea, Republic of Duration: 26 Feb 2014 → 1 Mar 2014

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology

Conference

Conference	2014 IEEE International Conference on Industrial Technology, ICIT 2014
Country/Territory	Korea, Republic of
City	Busan
Period	26/02/14 → 1/03/14

Keywords

fpga
gaussian filtering
gaussian mask
hardware architecture
real time

Access to Document

10.1109/ICIT.2014.6895002

Cite this

Song, S., Lee, S., Ko, J. P., & Jeon, J. W. (2014). A hardware architecture design for real-time Gaussian filter. In Proceedings of the IEEE International Conference on Industrial Technology (pp. 626-629). (Proceedings of the IEEE International Conference on Industrial Technology). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2014.6895002

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title = "A hardware architecture design for real-time Gaussian filter",

abstract = "The Gaussian Filter is one of the processing methods to smoothen images. Before detecting an object, this method is used as pre-processing, for eliminating useless detail, and connecting unnatural parts. We implemented a Gaussian Filter on FPGA, as that is the pre-processing system of the real time stereo vision system in this paper. The hardware implementation method saves the image in the Line Buffer for parallel processing of calculation, and sends the saved value to the Window Buffer, and then the result value of the passed Gaussian Filter is derived, through calculating the Gaussian mask and saved Window Buffer. This system receives the 640×480 image (25.4545MHz) from the CIS VCC-8350L camera, and transmits the blurred image to a monitor in real time (60fps).",

keywords = "fpga, gaussian filtering, gaussian mask, hardware architecture, real time",

author = "Sunmin Song and Sangjun Lee and Ko, \{Jae Pil\} and Jeon, \{Jae Wook\}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Industrial Technology, ICIT 2014 ; Conference date: 26-02-2014 Through 01-03-2014",

year = "2014",

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doi = "10.1109/ICIT.2014.6895002",

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Song, S, Lee, S, Ko, JP & Jeon, JW 2014, A hardware architecture design for real-time Gaussian filter. in Proceedings of the IEEE International Conference on Industrial Technology. Proceedings of the IEEE International Conference on Industrial Technology, Institute of Electrical and Electronics Engineers Inc., pp. 626-629, 2014 IEEE International Conference on Industrial Technology, ICIT 2014, Busan, Korea, Republic of, 26/02/14. https://doi.org/10.1109/ICIT.2014.6895002

A hardware architecture design for real-time Gaussian filter. / Song, Sunmin; Lee, Sangjun; Ko, Jae Pil et al.
Proceedings of the IEEE International Conference on Industrial Technology. Institute of Electrical and Electronics Engineers Inc., 2014. p. 626-629 (Proceedings of the IEEE International Conference on Industrial Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - The Gaussian Filter is one of the processing methods to smoothen images. Before detecting an object, this method is used as pre-processing, for eliminating useless detail, and connecting unnatural parts. We implemented a Gaussian Filter on FPGA, as that is the pre-processing system of the real time stereo vision system in this paper. The hardware implementation method saves the image in the Line Buffer for parallel processing of calculation, and sends the saved value to the Window Buffer, and then the result value of the passed Gaussian Filter is derived, through calculating the Gaussian mask and saved Window Buffer. This system receives the 640×480 image (25.4545MHz) from the CIS VCC-8350L camera, and transmits the blurred image to a monitor in real time (60fps).

AB - The Gaussian Filter is one of the processing methods to smoothen images. Before detecting an object, this method is used as pre-processing, for eliminating useless detail, and connecting unnatural parts. We implemented a Gaussian Filter on FPGA, as that is the pre-processing system of the real time stereo vision system in this paper. The hardware implementation method saves the image in the Line Buffer for parallel processing of calculation, and sends the saved value to the Window Buffer, and then the result value of the passed Gaussian Filter is derived, through calculating the Gaussian mask and saved Window Buffer. This system receives the 640×480 image (25.4545MHz) from the CIS VCC-8350L camera, and transmits the blurred image to a monitor in real time (60fps).

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KW - real time

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ER -

A hardware architecture design for real-time Gaussian filter

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