Title :
Simultaneous motion estimation and filtering of image sequences
Author :
Fan, C.M. ; Namazi, N.M.
Author_Institution :
Dept. of Electr. Eng., Catholic Univ. of America, Washington, DC, USA
Abstract :
In this paper, we present an algorithm to simultaneously estimate multiple-frame motions and filter image sequences. The relative motion d k(x) between the reference frame s(x) and the kth frame s(x-dk(x)) in the presence of additive white Gaussian noise (AWGN) are estimated using the maximum-likelihood (ML) principle. The reference frame is also filtered in the linear minimum mean square error (LMMSE) sense during the process of motion estimation. Simulation experiments are performed using the affine motion model to illustrate the performance of this method
Keywords :
Gaussian noise; filtering theory; image sequences; least mean squares methods; maximum likelihood estimation; motion estimation; white noise; AWGN; additive white Gaussian noise; affine motion model; filtering; image sequences; linear minimum mean square error; maximum-likelihood principle; motion estimation; multiple-frame motions; reference frame; relative motion; simulation experiments; AWGN; Additive white noise; Covariance matrix; Filtering; Gaussian noise; Image sequences; Maximum likelihood estimation; Mean square error methods; Motion estimation; Nonlinear filters;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.638697
