A partial differential equation for continuous nonlinear shrinkage filtering and its application for analyzing MMG data
Kristian Bredies, Dirk A. Lorenz, Peter Maaß, Gerd Teschke · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
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.