Paper Info
Title
A new multifilter design property for multiwavelet image compression.
Abstract
Approximation order, linear phase symmetry, time-frequency localization, regularity, and stopband attenuation are some criteria that are widely used in wavelet filter design. In this paper, we propose a new criterion called good multifilter properties (GMPs) for the design and construction of multiwavelet filters targeting image compression applications. We first provide the definition of GMPs, followed by a necessary and sufficient condition for an orthonormal multiwavelet system to have a GMP order of at least 1. We then present an algorithm to construct orthogonal multiwavelets possessing GMPs, starting from any length-2N scalar CQFs. Image compression experiments are performed to evaluate the importance of GMPs for image compression, as compared to other common filter design criteria. Our results confirmed that multiwavelets that possess GMPs not only yield superior PSNR performances, but also require much lower computations in their transforms.
Year
DOI
Venue
1999
10.1109/ICASSP.1999.756200
International Conference on Acoustics Speech and Signal Processing ICASSP
Keywords
Field
DocType
attenuation,transform coding,filter bank,data compression,wavelet transforms,filter design,mathematics,time frequency,linear approximation,linear phase,time frequency analysis,image compression
Linear phase,Mathematical optimization,Computer science,Filter bank,Transform coding,Orthonormal basis,Data compression,Image compression,Filter design,Wavelet transform
Conference
ISSN
Citations 
PageRank 
1520-6149
3
0.44
References 
Authors
5
4
Name
Order
Citations
PageRank
Jo Yew Tham144247.35
Lixin Shen243742.76
S. L. Lee3444.26
Hwee Huat Tan4746.35