Estimation of Large Scalings in Images Based on Multilayer Pseudopolar Fractional Fourier Transform

Zhenhong Li, Jianwei Yang, Ming Li and Rushi Lan

Mathematical Problems in Engineering, 2013, vol. 2013, 1-9

Abstract:

Accurate estimation of the Fourier transform in log-polar coordinates is a major challenge for phase-correlation based motion estimation. To acquire better image registration accuracy, a method is proposed to estimate the log-polar coordinates coefficients using multilayer pseudopolar fractional Fourier transform (MPFFT). The MPFFT approach encompasses pseudopolar and multilayer techniques and provides a grid which is geometrically similar to the log-polar grid. At low coordinates coefficients the multilayer pseudopolar grid is dense, and at high coordinates coefficients the grid is sparse. As a result, large scalings in images can be estimated, and better image registration accuracy can be achieved. Experimental results demonstrate the effectiveness of the presented method.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:179489

DOI: 10.1155/2013/179489

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