Symmetric nearly shift-invariant tight frame wavelets

A. Farras Abdelnour, Ivan W. Selesnick

Research output: Contribution to journalArticle

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. In this paper, 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.

Original languageEnglish (US)
Pages (from-to)231-239
Number of pages9
JournalIEEE Transactions on Signal Processing
Volume53
Issue number1
DOIs
StatePublished - Jan 2005

Keywords

  • Denoising
  • Frame
  • Symmetric filterbanks
  • Wavelet transform

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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