Sub-pixel shift estimation of image based on the least squares approximation in phase region

Ryo Fujimoto, Takanori Fujisawa, Masaaki Ikehara

研究成果: Conference contribution

抄録

This paper proposes a novel method to estimate noninteger shift of images based on least squares approximation in the phase region. Conventional methods based on Phase Only Correlation (POC) take correlation between a image and its shifted image, and then estimate the non-integer shift by fitting the model equation. The problem with using POC is that the true peak of the POC function may not match the estimated peak of the fitted model equation. This causes error in non-integer shift estimation. By calculating directly in the phase region, the proposed method allows the estimation of decimal shift through least squares approximation. Also by utilizing the characteristics of the natural image, the proposed method limits adoption range for least squares approximation. By these improvements, the proposed method improves the estimation and achieves high accuracy.

本文言語English
ホスト出版物のタイトル2016 24th European Signal Processing Conference, EUSIPCO 2016
出版社European Signal Processing Conference, EUSIPCO
ページ91-95
ページ数5
2016-November
ISBN(電子版)9780992862657
DOI
出版ステータスPublished - 2016 11月 28
イベント24th European Signal Processing Conference, EUSIPCO 2016 - Budapest, Hungary
継続期間: 2016 8月 282016 9月 2

Other

Other24th European Signal Processing Conference, EUSIPCO 2016
国/地域Hungary
CityBudapest
Period16/8/2816/9/2

ASJC Scopus subject areas

  • 信号処理
  • 電子工学および電気工学

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