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    The Dual-Tree Complex Wavelet Transform

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    Author
    Selesnick, Ivan W.; Baraniuk, Richard G.; Kingsbury, Nicholas G.
    Date
    2005-11-01
    Abstract
    The paper discusses the theory behind the dual-tree transform, shows how complex wavelets with good properties can be designed, and illustrates a range of applications in signal and image processing. The authors use the complex number symbol C in CWT to avoid confusion with the often-used acronym CWT for the (different) continuous wavelet transform. The four fundamentals, intertwined shortcomings of wavelet transform and some solutions are also discussed. Several methods for filter design are described for dual-tree CWT that demonstrates with relatively short filters, an effective invertible approximately analytic wavelet transform can indeed be implemented using the dual-tree approach.
    Description
    Journal Paper
    Citation
    I. W. Selesnick, R. G. Baraniuk and N. G. Kingsbury, "The Dual-Tree Complex Wavelet Transform," IEEE Signal Processing Magazine, vol. 22, no. 6, 2005.
    Published Version
    http://dx.doi.org/10.1109/MSP.2005.1550194
    Keyword
    FILTER BANKS; MULTISCALE TRANSFORMS; IMAGE; DESIGN; SIGNAL; More... BASES; COMPRESSION; ALGORITHMS; SCALE; PAIRS; Wavelet based Signal/Image Processing; FILTER BANKS; MULTISCALE TRANSFORMS; IMAGE; DESIGN; SIGNAL; BASES; COMPRESSION; ALGORITHMS; SCALE; PAIRS Less...
    Type
    Journal article
    Citable link to this page
    https://hdl.handle.net/1911/20355
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    • DSP Publications [508]
    • ECE Publications [1494]

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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map