Multiscale 2D Kalman filtering based on wavelet transform

Author

Hsin, Hsi Chin ; Li, Ching Chung

Author_Institution

Dept. of Electr. Eng., Pittsburgh Univ., PA, USA

Volume

1

fYear

1994

fDate

13-16 Nov 1994

Firstpage

80

Abstract

A scale-recursive Kalman filtering on multiscale images from coarse scale to fine scale is proposed which is a generalization of Chou and Willsky´s (see Tech. Report CICS-P-333, Center for Intelligent Control System, MIT, May, 1992) model. Through the use of wavelet packet transform, an efficient, highly parallel algorithm has been developed. This scale filtering method can be used to statistically fuse multisensor multiresolution images

Keywords

Kalman filters; filtering theory; image resolution; parallel algorithms; recursive filters; sensor fusion; two-dimensional digital filters; wavelet transforms; coarse scale; fine scale; images fusion; multiscale 2D Kalman filtering; multisensor multiresolution images; parallel algorithm; scale filtering method; scale-recursive Kalman filtering; wavelet packet transform; wavelet transform; Additive noise; Equations; Filtering; Fuses; Kalman filters; Signal synthesis; Wavelet analysis; Wavelet coefficients; Wavelet packets; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413279

Filename

413279