Phase-based accelerated motion magnification using image pyramid

Tomohito Mizokami, Kenjiro Sugimoto, Sei Ichiro Kamata

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


This paper proposes a method for motion magnification that accelerates phase extraction using a Complex Steerable Pyramid (CSP). Motion magnification is a task to visualize minute fluctuations in a video that are difficult for humans to perceive. The conventional method amplifies the phase change of the CSP between frames in a video to emphasize the small fluctuations. These responses are calculated by the product of the transfer function of the complex steerable filters and the frequency components of each frame. However, the fast Fourier transform and its inverse transform required for this computation occupies about 30 % of the computation time, and is a computational bottleneck. We have accelerated the conventional method by generating the CSP by convolution in the spatial domain focusing on the hierarchical structure of image pyramids.

Original languageEnglish
Title of host publicationTENCON 2021 - 2021 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665495325
Publication statusPublished - 2021
Event2021 IEEE Region 10 Conference, TENCON 2021 - Auckland, New Zealand
Duration: 2021 Dec 72021 Dec 10

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450


Conference2021 IEEE Region 10 Conference, TENCON 2021
Country/TerritoryNew Zealand


  • Gaussian filter
  • complex steerable pyramid
  • motion magnification

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering


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