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

Ivan Selesnick, Ke Yong Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsM.A. Unser, A. Aldroubi, A.F. Laine
Pages607-618
Number of pages12
Volume5207
Edition2
StatePublished - 2003
EventWavelets: Applications in Signal and Image Processing X - San Diego, CA, United States
Duration: Aug 4 2003Aug 8 2003

Other

OtherWavelets: Applications in Signal and Image Processing X
CountryUnited States
CitySan Diego, CA
Period8/4/038/8/03

Fingerprint

wavelet analysis
Wavelet transforms
video data
artifacts
Decomposition
decomposition

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Selesnick, I., & Li, K. Y. (2003). Video denoising using 2D and 3D dual-tree complex wavelet transforms. In M. A. Unser, A. Aldroubi, & A. F. Laine (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (2 ed., Vol. 5207, pp. 607-618)

Video denoising using 2D and 3D dual-tree complex wavelet transforms. / Selesnick, Ivan; Li, Ke Yong.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / M.A. Unser; A. Aldroubi; A.F. Laine. Vol. 5207 2. ed. 2003. p. 607-618.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Selesnick, I & Li, KY 2003, Video denoising using 2D and 3D dual-tree complex wavelet transforms. in MA Unser, A Aldroubi & AF Laine (eds), Proceedings of SPIE - The International Society for Optical Engineering. 2 edn, vol. 5207, pp. 607-618, Wavelets: Applications in Signal and Image Processing X, San Diego, CA, United States, 8/4/03.
Selesnick I, Li KY. Video denoising using 2D and 3D dual-tree complex wavelet transforms. In Unser MA, Aldroubi A, Laine AF, editors, Proceedings of SPIE - The International Society for Optical Engineering. 2 ed. Vol. 5207. 2003. p. 607-618
Selesnick, Ivan ; Li, Ke Yong. / Video denoising using 2D and 3D dual-tree complex wavelet transforms. Proceedings of SPIE - The International Society for Optical Engineering. editor / M.A. Unser ; A. Aldroubi ; A.F. Laine. Vol. 5207 2. ed. 2003. pp. 607-618
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