Contourlets: A new directional multiresolution image representation

Minh N. Do, Martin Vetterli

Research output: Contribution to journalConference articlepeer-review


We propose a new scheme, named contourlet, that provides a flexible multiresolution, local and directional image expansion. The contourlet transform is realized efficiently via a double iterated filter bank structure. Furthermore, it can be designed to satisfy the anisotropy scaling relation for curves, and thus offers a fast and structured curvelet-like decomposition. As a result, the contourlet transform provides a sparse representation for two-dimensional piecewise smooth signals resembling images. Finally, we show some numerical experiments demonstrating the potential of contourlets in several image processing tasks.

Original languageEnglish (US)
Pages (from-to)497-501
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
StatePublished - 2002
EventThe Thirty-Sixth Asilomar Conference on Signals Systems and Computers - Pacific Groove, CA, United States
Duration: Nov 3 2002Nov 6 2002

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications


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