Approximate Computing based on Latest-result Reuse for Image Edge Detection

Kimiyoshi Usami, Hajime Ochi, Yoshinori Ono

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルITC-CSCC 2020 - 35th International Technical Conference on Circuits/Systems, Computers and Communications
出版社Institute of Electrical and Electronics Engineers Inc.
ページ234-239
ページ数6
ISBN(電子版)9784885523281
出版ステータスPublished - 2020 7
イベント35th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2020 - Nagoya, Japan
継続期間: 2020 7 32020 7 6

出版物シリーズ

名前ITC-CSCC 2020 - 35th International Technical Conference on Circuits/Systems, Computers and Communications

Conference

Conference35th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2020
CountryJapan
CityNagoya
Period20/7/320/7/6

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Electrical and Electronic Engineering

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