Title :
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
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;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413279
