Wavelet image compression using universal coefficients matrix detail estimation

Author

Sánchez, Leonardo E Urbano ; Meana, Héctor M Pérez ; Miyatake, Mariko Nakano

Author_Institution

Graduate Studies Sect., Escuela Superior De Ingenieria Mecdnica Y Electrica Campus Culhuacan, Mexico

fYear

2004

fDate

16-18 Feb. 2004

Firstpage

277

Lastpage

282

Abstract

The paper represents a low complexity image compression algorithm by application of the two-dimensional discrete wavelet transform and the estimation of the detail matrices from the information matrix of the transformed image, using an adaptable RLS filter which estimates the detail matrices with universal coefficients. The reconstructed image is synthesized using the estimated detail matrices and information matrix provided by the wavelet transform.

Keywords

adaptive filters; data compression; discrete wavelet transforms; image coding; image reconstruction; matrix algebra; parameter estimation; recursive filters; transform coding; adaptable RLS filter; detail matrix estimation; image reconstruction; information matrix; matrix detail estimation; recursive least squares filter; two-dimensional discrete wavelet transform; universal coefficients; wavelet image compression; Bandwidth; Costs; Discrete wavelet transforms; Humans; Image coding; Image generation; Image storage; Information filtering; Information filters; Resonance light scattering;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Computers, 2004. CONIELECOMP 2004. 14th International Conference on

Print_ISBN

0-7695-2074-X

Type

conf

DOI

10.1109/ICECC.2004.1269586

Filename

1269586