High-accuracy sub-pixel motion estimation from noisy images in Fourier domain

Tools

Ren, Jinchang and Jiang, J. and Vlachos, T. (2010) High-accuracy sub-pixel motion estimation from noisy images in Fourier domain. IEEE Transactions on Image Processing, 19 (5). pp. 1379-1384. ISSN 1057-7149 (https://doi.org/10.1109/TIP.2009.2039056)

[thumbnail of Ren-etalTIP2010-high-accuracy-sub-pixel-motion]
Preview
 PDF. Filename: subpixel_r4.pdf
Preprint
Download (1MB)| Preview

Abstract

In this paper, we propose a new method for estimating subpixel motion via exploiting the principle of phase correlation in the Fourier domain. The method is based on linear weighting of the height of the main peak on the one hand and the difference between its two neighboring side-peaks on the other. Using both synthetic and real data we show that the proposed method outperforms many established approaches and achieves improved accuracy even in the presence of noisy samples.

ORCID iDs

Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194, Jiang, J. and Vlachos, T.;
CORE (COnnecting REpositories)