Optimized biorthogonal shape adaptive wavelets

Author

Mertins, Alfred

Author_Institution

Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia

fYear

1998

fDate

4-7 Oct 1998

Firstpage

673

Abstract

This paper presents shape adaptive wavelet transforms for object-based image coding. Methods for recovering moment properties that are valid for the original filters and wavelets, but that get lost in the boundary regions of shape adaptive transforms, are presented. Furthermore, methods for equalizing the energies of the boundary wavelets are shown. This equalization allows one to avoid the white quantization noise (introduced in the subbands) that appears as highly colored noise in the reconstructed image

Keywords

adaptive signal processing; channel bank filters; circuit optimisation; discrete wavelet transforms; filtering theory; image coding; image reconstruction; quantisation (signal); transform coding; white noise; boundary regions; boundary wavelets; colored noise; discrete wavelet transforms; filter optimization; moment properties recovery; object-based image coding; optimized biorthogonal shape adaptive wavelets; reconstructed image; two-channel filter bank; white quantization noise; Australia; Colored noise; Discrete wavelet transforms; Filter bank; Image analysis; Image coding; Image reconstruction; Polynomials; Shape; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.999053

Filename

999053