Authenticity Analysis of Wavelet Approximations in Visualization

  • Authors:
  • Pak Chung Wong;R. Daniel Bergeron

  • Affiliations:
  • Department of Computer Science, University of New Hampshire, Durham, New Hampshire;Department of Computer Science, University of New Hampshire, Durham, New Hampshire

  • Venue:
  • VIS '95 Proceedings of the 6th conference on Visualization '95
  • Year:
  • 1995

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Abstract

Wavelet transforms include data decompositions and reconstructions. This paper is concerned with the authenticity issues of the data decomposition, particularly for data visualization. A total of six datasets are used to clarify the approximation characteristics of compactly supported orthogonal wavelets. We present an error tracking mechanism, which uses the available wavelet resources to measure the quality of the wavelet approximations.