High-accuracy sub-pixel motion estimation from noisy images in Fourier domain
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)
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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: https://orcid.org/0000-0001-6116-3194, Jiang, J. and Vlachos, T.;-
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Item type: Article ID code: 29259 Dates: DateEventMay 2010PublishedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 16 Mar 2011 14:33 Last modified: 02 Oct 2024 00:21 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/29259