A pruned dual-tree discrete wavelet transform

Wan Yee Lo, Ivan Selesnick

Research output: Contribution to journalConference articlepeer-review


This paper describes a new pruned dual-tree discrete wavelet transform (DWT), which is designed to reduce the redundancy while maintaining the orientations. The new transform is based on the dual-tree wavelet transform introduced by Kingsbury. The number of wavelets associated with the transform is reduced substantially for both 2D and 3D cases. Wavelets generated from the pruned dual-tree DWT have direction/motion selectivity and are free of the checkerboard artifact, which are efficient for signal applications, such as image and video processing. This paper also describes an algorithm to compute the Matching Pursuit decomposition with this transform. Examples are shown to illustrate the performance of the matching pursuit algorithm and the 2D and 3D pruned dual-tree wavelet transforms.

Original languageEnglish (US)
Article number591427
Pages (from-to)1-12
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2005
EventWavelets XI - San Diego, CA, United States
Duration: Jul 31 2005Aug 3 2005

ASJC Scopus subject areas

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


Dive into the research topics of 'A pruned dual-tree discrete wavelet transform'. Together they form a unique fingerprint.

Cite this