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February  2007, 1(1): 47-62. doi: 10.3934/ipi.2007.1.47

Integrodifferential equations for continuous multiscale wavelet shrinkage

Stephan Didas 1, and  Joachim Weickert 1,

1. 

Department of Mathematics and Computer Science, Saarland University, Building E1 1, 66041 Saarbrücken, Germany, Germany

Received  September 2006 Revised  September 2006 Published  January 2007

The relations between wavelet shrinkage and nonlinear diffusion for discontinuity-preserving signal denoising are fairly well-understood for single-scale wavelet shrinkage, but not for the practically relevant multiscale case. In this paper we show that 1-D multiscale continuous wavelet shrinkage can be linked to novel integrodifferential equations. They differ from nonlinear diffusion filtering and corresponding regularisation methods by the fact that they involve smoothed derivative operators and perform a weighted averaging over all scales. Moreover, by expressing the convolution-based smoothed derivative operators by power series of differential operators, we show that multiscale wavelet shrinkage can also be regarded as averaging over pseudodifferential equations.
Keywords: nonlinear diffusion filtering., integrodifferential equations, image processing, wavelet shrinkage.
Mathematics Subject Classification: 68U10, 47G20, 65T6.
Citation: Stephan Didas, Joachim Weickert. Integrodifferential equations for continuous multiscale wavelet shrinkage. Inverse Problems and Imaging, 2007, 1 (1) : 47-62. doi: 10.3934/ipi.2007.1.47
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