Title :
Subpixel image registration by estimating the polyphase decomposition of cross power spectrum
Author :
Shekarforoush, H. ; Berthod, M. ; Zerubia, J.
Author_Institution :
Inst. Nat. de Recherche en Inf. et Autom., Sophia Antipolis, France
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 sub-pixel shifts along each axis
Keywords :
correlation methods; image registration; Dirac delta function; cross power spectrum; image registration; interpolation; luminance; phase correlation; polyphase decomposition; subpixel accuracy; Correlation; Fourier transforms; Image motion analysis; Image registration; Image sequence analysis; Interpolation; Motion estimation; Noise robustness; Phase noise; Pixel;
Conference_Titel :
Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-8186-7259-5
DOI :
10.1109/CVPR.1996.517123
