DocumentCode
2638215
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
fYear
1996
fDate
18-20 Jun 1996
Firstpage
532
Lastpage
537
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
Conference_Location
San Francisco, CA
ISSN
1063-6919
Print_ISBN
0-8186-7259-5
Type
conf
DOI
10.1109/CVPR.1996.517123
Filename
517123
Link To Document