Subpixel Image Registration by Estimating the Polyphase Decomposition of Cross Power Spectrum

Authors:
H. Shekarforoush;M. Berthod;J. Zerubia
Affiliations:
-;-;-
Venue:
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Year:
1996

Citing 0
Cited 5

Phase correlation based iris image registration model

Journal of Computer Science and Technology
Subpixel registration directly from the phase difference

EURASIP Journal on Applied Signal Processing
An efficient spatial domain technique for subpixel image registration

Image Communication
FPGA accelerator for wavelet-based automated global image registration

EURASIP Journal on Embedded Systems - Special issue on design and architectures for signal and image processing
High-accuracy sub-pixel motion estimation from noisy images in Fourier domain

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

A method of registering images at subpixel accuracy has been proposed, which does not resort to interpolation. The method is based on the phase correlation method and is remarkably robust to correlated noise and uniform variations of luminance. We have shown that the cross power spectrum of two images, containing subpixel shifts, is a polyphase decomposition of a Dirac delta function. By estimating the sum of polyphase components one can then determine subpixel shifts along each axis.