• 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