Simultaneous motion estimation and filtering of image sequences

Author

Fan, Chieh-Min ; Namazi, Nader M.

Author_Institution

Dept. of Electr. Eng., Catholic Univ. of America, Washington, DC, USA

Volume

8

Issue

12

fYear

1999

fDate

12/1/1999 12:00:00 AM

Firstpage

1788

Lastpage

1795

Abstract

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-d_k(x)) in the presence of additive white Gaussian noise (AWGN) is 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

AWGN; filtering theory; image sequences; least mean squares methods; maximum likelihood estimation; motion estimation; AWGN; LMMSE; additive white Gaussian noise; affine motion model; algorithm; image sequences filtering; linear minimum mean square error; maximum-likelihood estimation; motion estimation; multiple-frame motion; performance; reference frame; simulation experiments; AWGN; Additive white noise; Filtering; Gaussian noise; Image sequences; Image storage; Maximum likelihood estimation; Mean square error methods; Motion estimation; Nonlinear filters;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.806623

Filename

806623