Chaotic methods for image processing

Author

Frison, Ted W. ; Abarbanel, Henry D I ; Tsimring, Lev S.

Author_Institution

Randle Inc., Great Falls, VA, USA

Volume

2

fYear

1995

fDate

9-12 May 1995

Firstpage

1340

Abstract

We extend methods for processing chaotic time series to two-dimensional images. The motivation is to develop new tools for understanding physical systems that can be imaged, such as the ocean surface. The novel issue addressed is the computation of the average mutual information for images. The average mutual information provides insights into energy transport and information loss rates in the underlying system. It also provides a crucial parameter needed for further processing with chaotic methods

Keywords

channel capacity; chaos; geophysical signal processing; image processing; oceanographic techniques; optical information processing; remote sensing; time series; average mutual information; chaos; chaotic methods; chaotic time series; energy transport; image processing; information loss rates; measurement technique; ocean surface; optical imaging; remote sensing; sea surface; two-dimensional images; visible; Chaos; Image processing; Image reconstruction; Information analysis; Mutual information; Oceans; Rough surfaces; Sea surface; Spatial resolution; Surface roughness;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480488

Filename

480488