DocumentCode
1190680
Title
Symmetric nearly shift-invariant tight frame wavelets
Author
Abdelnour, A. Farras ; Selesnick, Ivan W.
Author_Institution
Memorial Sloan-Kettering Cancer Center, New York, NY, USA
Volume
53
Issue
1
fYear
2005
Firstpage
231
Lastpage
239
Abstract
K-regular two-band orthogonal filterbanks have been applied to image processing. Such filters can be extended into a case of downsampling by two and more than two filters provided that they satisfy a set of conditions. Such a setup allows for more degrees of freedom but also at the cost of higher redundancy. The latter depends directly on the number of the wavelet filters involved. Tight frame filters allow the design of smooth scaling functions and wavelets with a limited number of coefficients. Moreover, such filters are nearly shift invariant, a desirable feature in many applications. We explore a family of symmetric tight frame finite impulse response (FIR) filters characterized by the relations H3(z)=H0(-z) and H2(z)=H1(-z). They are simple to design and exhibit a degree of near orthogonality, in addition to near shift invariance. Both properties are desirable for noise removal purposes.
Keywords
FIR filters; channel bank filters; image denoising; low-pass filters; wavelet transforms; K-regular two-band orthogonal filterbanks; degrees of freedom; finite impulse response filter; image processing; smooth scaling function; symmetric nearly shift-invariant tight frame wavelet; wavelet filter; Biomedical imaging; Cancer; Costs; Digital filters; Finite impulse response filter; Image processing; Physics; Sampling methods; Spline; Wavelet transforms;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2004.838959
Filename
1369665
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