Abstract
This paper is intended to provide a multiresolution analysis (MRA) scheme to obtain a sequence of C r-spline surfaces over a Powell-Sabin triangulation of a polygonal domain approximating a Lagrangian data set and minimizing a certain “energy functional”. We define certain non separable scaling and wavelet functions in bidimensional domains, and we give the decomposition and reconstruction formulas in the framework of lifting schemes. Two important applications of the theory are given: In the first one we develop an algorithm for noise reduction of signals. The second one is related to the localization of the regions where the energy of a given function is mostly concentrated. Some numerical and graphical examples for different test functions and resolution levels are given.
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Fortes, M.A., González, P., Moncayo, M., Pasadas, M. (2010). Multiresolution Analysis for Minimal Energy C r-Surfaces on Powell-Sabin Type Meshes. In: Dæhlen, M., Floater, M., Lyche, T., Merrien, JL., Mørken, K., Schumaker, L.L. (eds) Mathematical Methods for Curves and Surfaces. MMCS 2008. Lecture Notes in Computer Science, vol 5862. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11620-9_14
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DOI: https://doi.org/10.1007/978-3-642-11620-9_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11619-3
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