Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31553
Title: A generalized orthogonal symmetric prefilter banks for discrete multiwavelet transforms
Authors: Hsung, TC
Lun, DPK 
Keywords: Channel bank filters
Computational complexity
Discrete wavelet transforms
Issue Date: 2006
Publisher: IEEE
Source: 2006 IEEE International Conference on Image Processing, 8-11 October 2006, Atlanta, GA, p. 2169-2172 How to cite?
Abstract: Prefilters are generally applied to the discrete multiwavelet transform (DMWT) for processing scalar signals. To fully utilize the benefit given by the multiwavelets, we have recently shown a maximally decimated orthogonal prefilter which preserves the linear phase property and the approximation power of the multiwavelets. However, such design requires the point of symmetry of each channel of the prefilter to match with the scaling functions of the target multiwavelet system. A compatible filter bank structure can be very difficult to find or simply does not exist, e.g. for multiplicity 2 multiwavelets. In this paper, we suggest a new DMWT structure in which the prefilter is combined with the first stage of DMWT. The advantage of the new structure is twofold: First, the computational complexity can be greatly reduced. Second, additional design freedom allows maximally decimated, orthogonal and symmetric prefilters even for low multiplicity. We evaluated the computational complexity and energy compaction capability of the new DMWT structure. Satisfactory results are obtained in comparing with the traditional approaches.
URI: http://hdl.handle.net/10397/31553
ISBN: 1-4244-0480-0
ISSN: 1522-4880
DOI: 10.1109/ICIP.2006.312874
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

3
Citations as of Jul 7, 2017

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
0
Citations as of Aug 15, 2017

Page view(s)

31
Last Week
1
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.