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

Jinchang Ren, J. Jiang , T. Vlachos

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)
691 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)1379-1384
Number of pages6
JournalIEEE Transactions on Image Processing
Issue number5
Publication statusPublished - May 2010


  • fourier analysis
  • image resolution
  • image sampling


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