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Directional wavelet transforms and frames

  • Swiss Federal Institute of Technology Lausanne
    ,
  • University of California at Berkeley
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

The application of the wavelet transform in image processing is most frequently based on a separable transform. Lines and columns in an image are treated independently and the basis functions are simply products of corresponding one-dimensional functions. Such a method keeps simplicity in design and computation. A new two-dimensional approach is proposed, which retains the simplicity of separable processing, but allows more directionalities. The method can be applied in many areas like denoising, nonlinear approximation and compression. The results on nonlinear approximation and denoising show interesting gains compared to the standard two-dimensional analysis.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 01/01/2002

Publication status

Published - 01/01/2002

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

0780376226

External Publication IDs

  • handle.net: 10547/293130

Host publication title

nan

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