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The Dual-Tree Complex Wavelet Transform

By Ivan W. Selesnick, Richard G. Baraniuk and Nicholas G. KingsburyIvan W. Selesnick, Richard G. Baraniuk and Nicholas G. Kingsbury

Abstract

Journal PaperThe 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

Topics: FILTER BANKS, MULTISCALE TRANSFORMS, IMAGE, DESIGN, SIGNAL, BASES, COMPRESSION, ALGORITHMS, SCALE, PAIRS, Wavelet based Signal/Image Processing, FILTER BANKS, MULTISCALE TRANSFORMS, IMAGE, DESIGN, SIGNAL, BASES, COMPRESSION, ALGORITHMS, SCALE, PAIRS
Year: 2006
DOI identifier: 10.1109/MSP.2005.1550194
OAI identifier: oai:scholarship.rice.edu:1911/20355
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