Wavelet-Kalman method for image compression

Author

David, Afshin

Author_Institution

Dept. of Information Technol., Turku Univ., Finland

Volume

6

fYear

2003

fDate

6-10 April 2003

Abstract

This paper presents a novel wavelet-Kalman based method for compressing digital images. The method is based on the state-space description of the synthesis operation of the discrete wavelet transform (DWT). In particular, the synthesis operation is regarded as the state evolution from a coarse subspace to a finer one. And the analysis operation is considered as a partially observable process. We show that such a description, in the context of an ordinary Kalman filter, provides for an extremely efficient compression method.

Keywords

Kalman filters; data compression; discrete wavelet transforms; image coding; state-space methods; transform coding; DWT; coarse subspace; digital image compression; discrete wavelet transform; efficient compression; image compression; partially observable process; state evolution; state-space description; synthesis operation; wavelet-Kalman based method; Codecs; Digital images; Discrete wavelet transforms; Filters; Image coding; Image resolution; Information technology; Laboratories; Signal resolution; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1201628

Filename

1201628