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 28
    イベント24th European Signal Processing Conference, EUSIPCO 2016 - Budapest, Hungary
    継続期間: 2016 8 282016 9 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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