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Discrete directional wavelet bases for image compression

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

8 Citations (Scopus)

Abstract

The application of the wavelet transform in image processing is most frequently based on a separable construction. Lines and columns in an image are treated independently and the basis functions are simply products of the corresponding one dimensional functions. Such method keeps simplicity in design and computation, but is not capable of capturing properly all the properties of an image. In this paper, a new truly separable discrete multi-directional transform is proposed with a subsampling method based on lattice theory. Alternatively, the subsampling can be omitted and this leads to a multi-directional frame. This transform can be applied in many areas like denoising, non-linear approximation and compression. The results on non-linear approximation and denoising show very interesting gains compared to the standard two-dimensional analysis.
Original languageEnglish
Title of host publicationProceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.509905
PublisherSPIE
Pages1287-1295
Number of pages9
Volume5150 II
ISBN (Electronic)9780819450234
ISBN (Print)9780819450234
DOIs
Publication statusPublished - 23 Jun 2003
EventVisual Communications and Image Processing 2003 - Lugano, Switzerland
Duration: 8 Jul 200311 Jul 2003

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
ISSN (Print)0277-786X

Conference

ConferenceVisual Communications and Image Processing 2003
Country/TerritorySwitzerland
CityLugano
Period8/07/0311/07/03
OtherVisual Communications and Image Processing 2003 (Lugano)

Keywords

  • Denoising
  • Non-linear approximation
  • Wavelets

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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