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Directional wavelet transforms and frames

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The application of the wavelet transform in image processing is most frequently based on a separable transform. Lines and columns in an image are treated independently and the basis functions are simply products of corresponding one-dimensional functions. Such a method keeps simplicity in design and computation. A new two-dimensional approach is proposed, which retains the simplicity of separable processing, but allows more directionalities. The method can be applied in many areas like denoising, nonlinear approximation and compression. The results on nonlinear approximation and denoising show interesting gains compared to the standard two-dimensional analysis.
Original languageEnglish
Title of host publicationnan
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)0780376226
DOIs
Publication statusPublished - 1 Jan 2002
EventInternational Conference on Image Processing 2002 - Rochester
Duration: 22 Sept 200225 Sept 2002

Conference

ConferenceInternational Conference on Image Processing 2002
CityRochester
Period22/09/0225/09/02
OtherInternational Conference on Image Processing 2002 (22/09/2002-25/09/2002, Rochester)

Keywords

  • wavelet transform analysis

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