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

Kimiyoshi Usami, Hajime Ochi, Yoshinori Ono

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationITC-CSCC 2020 - 35th International Technical Conference on Circuits/Systems, Computers and Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages234-239
Number of pages6
ISBN (Electronic)9784885523281
Publication statusPublished - 2020 Jul
Event35th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2020 - Nagoya, Japan
Duration: 2020 Jul 32020 Jul 6

Publication series

NameITC-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

Keywords

  • Approximate computing
  • energy savings
  • FPGA
  • image edge detector
  • reuse

ASJC Scopus subject areas

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

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