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

Ren, J, Jiang, J and Vlachos, T (2010) High-accuracy sub-pixel motion estimation from noisy images in Fourier domain. IEEE Trans Image Process, 19 (5). pp. 1379-1384.

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Abstract

In this paper, we propose a new method for estimating sub-pixel 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.

Item Type: Article
Authors :
NameEmailORCID
Ren, JUNSPECIFIEDUNSPECIFIED
Jiang, Jjianmin.jiang@surrey.ac.ukUNSPECIFIED
Vlachos, TUNSPECIFIEDUNSPECIFIED
Date : May 2010
Identification Number : https://doi.org/10.1109/TIP.2009.2039056
Uncontrolled Keywords : Algorithms, Artifacts, Fourier Analysis, Image Enhancement, Image Interpretation, Computer-Assisted, Motion, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Subtraction Technique
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:24
Last Modified : 17 May 2017 15:03
URI: http://epubs.surrey.ac.uk/id/eprint/835192

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