Image compression with matrix detail estimation

Author

Urbano-Sanchez, Enrique ; Perez-Meana, Hector ; Nakano-Miyatake, Mariko

Author_Institution

Mech. & Electr. Eng. Sch., Mexico City, Mexico

Volume

2

fYear

2004

Firstpage

925

Abstract

This paper proposes a low complexity image compression algorithm using a two-dimensional discrete wavelet transform, DWT, and the estimation of the matrices detail, using a 2D-adaptive RLS filter. The reconstructed image will be synthesized by using the estimated detail matrices and information matrix provided by the information matrix of the 2D DWT. Evaluation results show that proposed algorithm provides a similar performance that more sophisticated wavelet based image compression algorithms with much less computational complexity.

Keywords

adaptive filters; computational complexity; data compression; discrete wavelet transforms; image coding; matrix decomposition; transform coding; 2D-adaptive RLS filter; image compression; image reconstruction; information matrix; low complexity algorithm; matrix detail estimation; two-dimensional discrete wavelet transform; Computational complexity; Data communication; Discrete wavelet transforms; Filters; Fractals; Image coding; Image reconstruction; Image storage; Resonance light scattering; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Physics and Engineering of Microwaves, Millimeter, and Submillimeter Waves, 2004. MSMW 04. The Fifth International Kharkov Symposium on

Print_ISBN

0-7803-8411-3

Type

conf

DOI

10.1109/MSMW.2004.1346245

Filename

1346245