An investigation of 3D dual-tree wavelet transform for video coding

Beibei Wang, Yao Wang, Ivan Selesnick, Anthony Vetro

Research output: Contribution to journalConference article


This paper examines the properties of a recently introduced 3-D dual-tree discrete wavelet transform (DDWT) for video coding. The 3-D DDWT is an attractive video representation because it isolates motion along different directions in separate subbands. However, it is an overcomplete transform with 8:1 redundancy. We examine the effectiveness of the iterative projection-based noise shaping scheme proposed by Kingsbury on reducing the number of coefficients. We also investigate the correlation between subbands at the same spatial/temporal location, both in the significance map and in actual coefficient values.

Original languageEnglish (US)
Pages (from-to)1317-1320
Number of pages4
JournalProceedings - International Conference on Image Processing, ICIP
StatePublished - Dec 1 2004
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: Oct 18 2004Oct 21 2004


ASJC Scopus subject areas

  • Engineering(all)

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