DocumentCode
1211813
Title
On minimal lattice factorizations of symmetric-antisymmetric multifilterbanks
Author
Gan, Lu ; Ma, Kai-Kuang
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia
Volume
53
Issue
2
fYear
2005
fDate
2/1/2005 12:00:00 AM
Firstpage
606
Lastpage
621
Abstract
This paper introduces two minimal lattice structures for symmetric-antisymmetric multiwavelets (SAMWTs) and symmetric-antisymmetric multifilterbanks (SAMFBs). First, by exploring the relation of the symmetric-antisymmetric property in multifilterbanks and the linear-phase property in traditional scalar filterbanks, we show that the implementation and design of an SAMFB can be converted into that of a four-channel scalar linear-phase perfect reconstruction filterbank (LPPRFB). Then, based on the lattice factorization for LPPRFBs, we propose two fast, modular, minimal structures for SAMFBs. To demonstrate the effectiveness of the proposed lattice structures, several rational or dyadic-coefficient SAMWT design examples are presented along with their application in image coding.
Keywords
channel bank filters; filtering theory; image coding; image reconstruction; lattice filters; wavelet transforms; dyadic coefficient; image coding; image compression; image reconstruction; linear-phase perfect reconstruction interbank; linear-phase property; minimal lattice factorization; scalar filterbank; symmetric-antisymmetric multifilterbank; symmetric-antisymmetric multiwavelet; Filters; Gallium nitride; Image coding; Image processing; Image reconstruction; Lattices; Signal analysis; Signal processing; Signal synthesis; Wavelet transforms; Dyadic coefficients; image compression; integer implementation; linear-phase; perfect-reconstruction; rational coefficients; symmetric-antisymmetric multifilterbank; symmetric-antisymmetric mutliwavelets;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2004.840785
Filename
1381752
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