A new family of spline-based biorthogonal wavelet transforms and their application to image compression

Author

Averbuch, Amir Z. ; Zheludev, Valery A.

Author_Institution

Sch. of Comput. Sci., Tel Aviv Univ., Israel

Volume

13

Issue

7

fYear

2004

fDate

7/1/2004 12:00:00 AM

Firstpage

993

Lastpage

1007

Abstract

In this paper. we design a new family of biorthogonal wavelet transforms and describe their applications to still image compression. The wavelet transforms are constructed from various types of interpolatory and quasiinterpolatory splines. The transforms use finite impulse response and infinite impulse response filters that are implemented in a fast lifting mode.

Keywords

FIR filters; IIR filters; data compression; image coding; interpolation; splines (mathematics); wavelet transforms; fast lifting mode; finite impulse response filters; infinite impulse response filters; interpolatory splines; quasiinterpolatory splines; spline-based biorthogonal wavelet transform; still image compression; Biomedical signal processing; Discrete transforms; Discrete wavelet transforms; IIR filters; Image coding; Polynomials; Signal processing; Spline; Wavelet analysis; Wavelet transforms; Algorithms; Artificial Intelligence; Computer Graphics; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/TIP.2004.827229

Filename

1303650