A hardware architecture design for real-time Gaussian filter

Author

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

Author_Institution

Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea

fYear

2014

fDate

Feb. 26 2014-March 1 2014

Firstpage

626

Lastpage

629

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

Gaussian processes; object detection; parallel processing; smoothing methods; stereo image processing; CIS VCC-8350L camera; FPGA; Gaussian mask; hardware architecture design; image smoothing; line buffer; object detection; parallel processing; real-time Gaussian filter; stereo vision system; useless detail elimination; window buffer; Digital filters; Hardware; Image edge detection; Information filters; Real-time systems; Stereo vision; fpga; gaussian filtering; gaussian mask; hardware architecture; real time;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology (ICIT), 2014 IEEE International Conference on

Conference_Location

Busan

Type

conf

DOI

10.1109/ICIT.2014.6895002

Filename

6895002