@inproceedings{0a2d3367f39349d08cd169095bf27ccb,
title = "Approximate Computing based on Latest-result Reuse for Image Edge Detection",
abstract = "This paper describes a memo-table-free approximate computing technique for an image edge detector to reuse the computed result only in the closest past. Decision of reuse is made based on tolerance-level controllable similarity checking for two consecutive 3x3 input pixels. We designed and implemented the proposed approximate edge detector in an FPGA and evaluated with 6 benchmark images. Results have demonstrated that by controlling the tolerance level the execution time is reduced by 15% and the energy dissipation is saved by 3-12% compared with the precise computation at acceptable quality in edge detected images. ",
keywords = "Approximate computing, FPGA, energy savings, image edge detector, reuse",
author = "Kimiyoshi Usami and Hajime Ochi and Yoshinori Ono",
note = "Publisher Copyright: {\textcopyright} 2020 IEICE.; 35th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2020 ; Conference date: 03-07-2020 Through 06-07-2020",
year = "2020",
month = jul,
language = "English",
series = "ITC-CSCC 2020 - 35th International Technical Conference on Circuits/Systems, Computers and Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "234--239",
booktitle = "ITC-CSCC 2020 - 35th International Technical Conference on Circuits/Systems, Computers and Communications",
}