Video denoising using oriented complex wavelet transforms

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

Abstract

Video processing techniques using true 3D transforms are largely unexploited, partly because of the drawbacks of traditional separable 3D transforms. In this paper we use a new type of non-separable 3D wavelet transform for video denoising and overcome the motion-mixture problem by using oriented complex wavelets. This wavelet transform is a 3D version of Kingsbury's ID and 2D dual-tree wavelet transforms. We also investigate video denoising techniques using a combination of both 2D and 3D oriented wavelet transforms. The results are compared with those obtained by separable wavelet transforms.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
StatePublished - 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

Other

OtherProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing
CountryCanada
CityMontreal, Que
Period5/17/045/21/04

Fingerprint

wavelet analysis
Wavelet transforms
Processing

Keywords

  • 3D wavelet
  • Dual-tree complex wavelet transform
  • Video denoising

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

Cite this

Shi, F., & Selesnick, I. (2004). Video denoising using oriented complex wavelet transforms. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 2)

Video denoising using oriented complex wavelet transforms. / Shi, Fei; Selesnick, Ivan.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2 2004.

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

Shi, F & Selesnick, I 2004, Video denoising using oriented complex wavelet transforms. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 2, Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing, Montreal, Que, Canada, 5/17/04.
Shi F, Selesnick I. Video denoising using oriented complex wavelet transforms. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2. 2004
Shi, Fei ; Selesnick, Ivan. / Video denoising using oriented complex wavelet transforms. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2 2004.
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