Video denoising using 2D and 3D dual-tree complex wavelet transforms

Ivan W. Selesnick, Ke Yong Li

Research output: Contribution to journalConference article

Abstract

The denoising of video data should take into account both temporal and spatial dimensions, however, true 3D transforms are rarely used for video denoising. Separable 3-D transforms have artifacts that degrade their performance in applications. This paper describes the design and application of the non-separable oriented 3-D dual-tree wavelet transform for video denoising. This transform gives a motion-based multi-scale decomposition for video - it isolates in its subbands motion along different directions. In addition, we investigate the denoising of video using the 2-D and 3-D dual-tree oriented wavelet transforms, where the 2-D transform is applied to each frame individually.

Original languageEnglish (US)
Pages (from-to)607-618
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5207
Issue number2
StatePublished - Dec 1 2003
EventWavelets: Applications in Signal and Image Processing X - San Diego, CA, United States
Duration: Aug 4 2003Aug 8 2003

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Keywords

  • 3D wavelet
  • Complex wavelet transform
  • Denoising
  • Dual-tree
  • Oriented

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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