Application of principal component filter banks to subband coding

Author

Xuan, Bo ; Bamberger, Roberto H.

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA

Volume

2

fYear

1996

fDate

14-18 Oct 1996

Firstpage

1739

Abstract

Signal-adaptive multi-rate filter banks have received a growing interest in the research community. The filter banks are designed to match the statistical properties of the input signals. In particular, a principal component filter bank (PCFB) attains maximal energy compaction in the sense that the mean squared error between the input and output (when only a limited number of subbands are retained for reconstruction) is minimized, hence maximizing the theoretical coding gain (TCG). While the theoretical aspects have been developed in detail previously, this paper discusses the application of PCFBs to subband coding of images

Keywords

adaptive filters; data compression; image coding; image reconstruction; least mean squares methods; multidimensional digital filters; PCFB; energy compaction; images; input signals; mean squared error; principal component filter banks; reconstruction; signal-adaptive multi-rate filter banks; statistical properties; subband coding; theoretical coding gain; Band pass filters; Channel bank filters; Filter bank; Frequency; Image coding; Image reconstruction; Phase change materials; Phase distortion; Signal design; Signal synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 1996., 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-2912-0

Type

conf

DOI

10.1109/ICSIGP.1996.571274

Filename

571274