• DocumentCode
    1221674
  • Title

    The phaselet transform-an integral redundancy nearly shift-invariant wavelet transform

  • Author

    Gopinath, Ramesh A.

  • Author_Institution
    IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA
  • Volume
    51
  • Issue
    7
  • fYear
    2003
  • fDate
    7/1/2003 12:00:00 AM
  • Firstpage
    1792
  • Lastpage
    1805
  • Abstract
    This paper introduces an approximately shift invariant redundant dyadic wavelet transform - the phaselet transform - that includes the popular dual-tree complex wavelet transform of Kingsbury (see Phil. R. Soc. London A, Sept. 1999) as a special case. The main idea is to use a finite set of wavelets that are related to each other in a special way - and hence called phaselets - to achieve approximate shift-redundancy; the bigger the set, the better the approximation. A sufficient condition on the associated scaling filters to achieve this is that they are fractional shifts of each other. Algorithms for the design of phaselets with a fixed number vanishing moments is presented - building on the work of Selesnick (see IEEE Trans. Signal Processing) for the design of wavelet pairs for Kingsbury´s dual-tree complex wavelet transform. Construction of two-dimensional (2-D) directional bases from tensor products of one-dimensional (1-D) phaselets is also described. Phaselets as a new approach to redundant wavelet transforms and their construction are both novel and should be interesting to the reader, independent of the approximate shift invariance property that this paper argues they possess.
  • Keywords
    FIR filters; IIR filters; approximation theory; channel bank filters; filtering theory; wavelet transforms; 1D phaselets; 2D directional bases; FIR phaselet filters; IIR phaselet filters; algorithms; approximate redundant dyadic wavelet transform; approximate shift-redundancy; dual-tree complex wavelet transform; filterbanks; fractional shifts; integral redundancy; one-dimensional phaselets; phaselet transform; scaling filters; shift-invariant wavelet transform; sufficient condition; tensor products; vanishing moments; Algorithm design and analysis; Buildings; Filters; Process design; Signal design; Signal processing algorithms; Sufficient conditions; Tensile stress; Two dimensional displays; Wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2003.812833
  • Filename
    1206689