DocumentCode :
831092
Title :
A class of regular biorthogonal linear-phase filterbanks: theory, structure, and application in image coding
Author :
Oraintara, Soontorn ; Tran, Trac D. ; Nguyen, Truong Q.
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas, Arlington, TX, USA
Volume :
51
Issue :
12
fYear :
2003
Firstpage :
3220
Lastpage :
3235
Abstract :
This paper discusses a method of regularity imposition onto biorthogonal linear-phase M-band filterbanks using the lattice structure. A lifting structure is proposed for lattice matrix parameterization where regularity constraints can be imposed. The paper focuses on cases with analysis and synthesis filterbanks having up to two degrees of regularity. Necessary and sufficient conditions for regular filterbanks in terms of the filter impulse response, frequency response, scaling function, and wavelets are revisited and are derived in terms of the lattice matrices. This also leads to a constraint on the minimum filter length. Presented design examples are optimized for the purpose of image coding, i.e., the main objectives are coding gain and frequency selectivity. Simulation results from an image coding application also show that these transforms yield improvement in the perceptual quality in the reconstruction images. The approach has also been extended to the case of integer/rational lifting coefficients, which are desirable in many practical applications.
Keywords :
channel bank filters; filtering theory; frequency response; image coding; image reconstruction; lattice filters; linear phase filters; matrix algebra; transient response; wavelet transforms; M-band filterbanks; coding gain; frequency response; frequency selectivity; image coding; impulse response; integer/rational lifting coefficients; lattice matrix parameterization; lattice structure; lifting structure; linear-phase filterbanks; minimum filter length; perceptual quality; reconstruction images; regular biorthogonal filterbanks; regularity imposition; scaling function; wavelets; Discrete cosine transforms; Filtering theory; Filters; Frequency domain analysis; Image coding; Image reconstruction; Lattices; Transform coding; Video compression; Wavelet transforms;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2003.818909
Filename :
1246528
Link To Document :
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