A multiresolution analysis for tensor-product splines using weighted spline wavelets

  • Authors:
  • Mario Kapl;Bert Jüttler

  • Affiliations:
  • Johannes Kepler University Linz, Institute of Applied Geometry, Austria;Johannes Kepler University Linz, Institute of Applied Geometry, Austria

  • Venue:
  • Journal of Computational and Applied Mathematics
  • Year:
  • 2009

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Abstract

We construct biorthogonal spline wavelets for periodic splines which extend the notion of ''lazy'' wavelets for linear functions (where the wavelets are simply a subset of the scaling functions) to splines of higher degree. We then use the lifting scheme in order to improve the approximation properties with respect to a norm induced by a weighted inner product with a piecewise constant weight function. Using the lifted wavelets we define a multiresolution analysis of tensor-product spline functions and apply it to image compression of black-and-white images. By performing-as a model problem-image compression with black-and-white images, we demonstrate that the use of a weight function allows to adapt the norm to the specific problem.