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Construction of arbitrary dimensional biorthogonal multiwavelet using lifting scheme.

Xieping Gao1, Fen Xiao, Bodong Li

  • 1College of Information Engineering and Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, China.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|April 4, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel framework for constructing multidimensional biorthogonal multiwavelets and filter banks using a generalized lifting scheme. These advanced multiwavelet systems offer efficient computation and preserve key properties for diverse applications.

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Area of Science:

  • Signal Processing
  • Applied Mathematics
  • Numerical Analysis

Background:

  • Multidimensional signal processing often requires sophisticated wavelet transforms.
  • Existing methods may lack flexibility in terms of dimensionality and vanishing moments.

Purpose of the Study:

  • To develop a general design framework for multidimensional biorthogonal multiwavelets.
  • To construct perfect reconstruction multifilter banks based on the Hermite-Neville filter.

Main Methods:

  • Utilizing two lifting structures derived from the Hermite-Neville filter.
  • Developing a generalized lifting scheme for multiwavelet construction.
  • Investigating properties like multiplicity, lattice, dimension, and vanishing moments.

Main Results:

  • A general framework for constructing biorthogonal multiwavelets and Hermite interpolation filter banks.
  • The construction generalizes the Neville-based lifting scheme.
  • The proposed systems inherit advantages of lifting schemes: fast computation, in-place, and integer-to-integer transforms.

Conclusions:

  • The developed multiwavelet systems offer significant advantages for signal processing applications.
  • These systems preserve desirable properties such as interpolation, short support, symmetry, and high vanishing moments.