Presentation 2008-05-23
An Approach for Downscaling Images for Real-time Pattern Detection
Yoshifumi TANIDA, Tsutomu MARUYAMA,
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Abstract(in English) In this paper, we describe an approach for downscaling images for real-time pattern detection on FPGA. In our pattern detection system, a sequence of downscaled images (downscaled by α^k(k=0,1,2,…,n)) is generated, and regions in each image are compared with fixed size templates in order to detect patterns of various sizes in the original image. In this downscaling process, we need to (1) maintain the quality of the downscaled images to detect the patterns with less failures, (2) generate them in parallel with the pattern detection to achieve high performance by hiding the computation time, and (3) minimize the unit size and the number of the external memory banks required for the downscaling to leave more hardware resources for pattern detection units. In our approach based on an area-averaging method, all downscaled images have the same quality as when generated from the original image, and the computation is completely overlapped with the pattern detection. The downscaling units for α^3=1/2 occupy only 3% LUTs of Xilinx XC2V6000, and only one external memory bank is used for downscaling grayscale images.
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Keyword(in English) resizing / downscaling / image / FPGA / real-time
Paper # RECONF2008-14
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Conference Information
Committee RECONF
Conference Date 2008/5/15(1days)
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Registration To Reconfigurable Systems (RECONF)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Approach for Downscaling Images for Real-time Pattern Detection
Sub Title (in English)
Keyword(1) resizing
Keyword(2) downscaling
Keyword(3) image
Keyword(4) FPGA
Keyword(5) real-time
1st Author's Name Yoshifumi TANIDA
1st Author's Affiliation Systems and Information Engineering, University of Tsukuba()
2nd Author's Name Tsutomu MARUYAMA
2nd Author's Affiliation Systems and Information Engineering, University of Tsukuba
Date 2008-05-23
Paper # RECONF2008-14
Volume (vol) vol.108
Number (no) 48
Page pp.pp.-
#Pages 6
Date of Issue