Title :
A Subspace Method for Fourier Based Image Registration
Author :
Xu, Min ; Varshney, Pramod K. ; Niu, Ruixin
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY
fDate :
Oct. 29 2006-Nov. 1 2006
Abstract :
Image registration is the process of estimating the misalignment between two images and then aligning the image pair. A popular approach for coarse registration is Fourier based. This paper enhances the current Fourier based registration approach by employing the MUSIC algorithm for frequency estimation. A more accurate registration result is achieved at the expense of additional computational complexity. Performance is comparable to a mutual information based registration algorithm but requires less computation.
Keywords :
Fourier analysis; frequency estimation; image classification; image registration; Fourier based image registration; MUSIC algorithm; coarse registration; frequency estimation; subspace method; Computational complexity; Equations; Fourier transforms; Frequency estimation; Gaussian noise; Image registration; Layout; Multiple signal classification; Mutual information; Noise cancellation;
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2006.354782