Optimal L2 approximation of images in nonorthogonal multiresolution bases

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

Abstract

In this paper, we present a fast optimization algorithm for L2 approximation in 2D, separable, nonorthogonal multiresolution bases and discuss its application to image coding. The algorithm is applied to a multiresolution bilinear spline basis and produces approximations that have two attractive features: less ringing artifacts and faster reconstruction than in commonly used multiresolution bases.

Original languageEnglish (US)
Title of host publicationImage and Multidimensional Signal Processing
PublisherPubl by IEEE
Volume5
ISBN (Print)0780309464
StatePublished - 1993
Externally publishedYes
EventIEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5) - Minneapolis, MN, USA
Duration: Apr 27 1993Apr 30 1993

Other

OtherIEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5)
CityMinneapolis, MN, USA
Period4/27/934/30/93

ASJC Scopus subject areas

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

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  • Cite this

    Moulin, P. (1993). Optimal L2 approximation of images in nonorthogonal multiresolution bases. In Image and Multidimensional Signal Processing (Vol. 5). Publ by IEEE.