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Proceedings Paper

A partial differential equation for continuous nonlinear shrinkage filtering and its application for analyzing MMG data
Author(s): Kristian Bredies; Dirk A. Lorenz; Peter Maass; Gerd Teschke
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Paper Abstract

The starting point for this paper is the well known equivalence between convolution filtering with a rescaled Gaussian and the solution of the heat equation. In the first sections we analyze the equivalence between multiscale convolution filtering, linear smoothing methods based on continuous wavelet transforms and the solutions of linear diffusion equations. I.e. we determine a wavelet ψ, resp. a convolution filter φ, which is associated with a given linear diffusion equation ut = Pu and vice versa. This approach has an extension to non-linear smoothing techniques. The main result of this paper is the derivation of a differential equation, whose solution is equivalent to non-linear multi-scale smoothing based on soft shrinkage methods applied to Fourier or continuous wavelet transforms.

Paper Details

Date Published: 27 February 2004
PDF: 10 pages
Proc. SPIE 5266, Wavelet Applications in Industrial Processing, (27 February 2004); doi: 10.1117/12.515945
Show Author Affiliations
Kristian Bredies, Univ. Bremen (Germany)
Dirk A. Lorenz, Univ. Bremen (Germany)
Peter Maass, Univ. Bremen (Germany)
Gerd Teschke, Univ. Bremen (Germany)

Published in SPIE Proceedings Vol. 5266:
Wavelet Applications in Industrial Processing
Frederic Truchetet, Editor(s)

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