Fast subpixel displacement estimation for images using chirp transform algorithm

Hayato Iwata, Masahide Abe, Masayuki Kawamata

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

1 Citation (Scopus)

Abstract

This paper proposes a fast estimation method of subpixel displacement of images using the phase-only correlation with chirp transform algorithm. The subpixel displacement estimation using phase-only correlarion has high robustness and accuracy but requires high computational cost. The chirp transform is used to the subpixel displacement estimation to reduce the computational cost when the range of displacement to be estimated is limited to small area. The proposed method is applied to the displacement estimation of images, and is able to reduce computation time to 1/3 of that of a conventional method.

Original languageEnglish
Title of host publicationProceedings of 2016 5th International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages356-360
Number of pages5
ISBN (Electronic)9781509012459
DOIs
Publication statusPublished - 2017 Jul 10
Event5th International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2016 - Beijing, China
Duration: 2016 Sep 232016 Sep 25

Publication series

NameProceedings of 2016 5th International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2016

Other

Other5th International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2016
Country/TerritoryChina
CityBeijing
Period16/9/2316/9/25

Keywords

  • Chirp transform algorithm
  • Displacement estimation
  • Image registration
  • Phase-only correlation
  • Subpixel displacement

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems

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