A Multiresolution wedgelet transform for image processing

Roger L. Claypoole, Richard G. Baraniuk

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


Edges in images convey a great deal of information, but wavelet transforms do not provide an economical representation. Thus, popular wavelet-based compression and restoration techniques perform poorly in the presence of edges. We present here a new multiresolution wedgelet transform based on the lifting construction. This transform provides an economical edge representation and thus offers the potential for improved image processing. We demonstrate this potential with applications in image denoising.

Original languageEnglish (US)
Pages (from-to)253-262
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Issue number1
StatePublished - Dec 4 2000


  • Denoising
  • Lifting
  • Wavelets
  • Wedgelets

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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