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Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik
Doi
Abstract
Structural adaptive smoothing provides a new concept of edge-preserving
non-parametric smoothing methods. In imaging it employs qualitative
assumption on the underlying homogeneity structure of the image. The chapter
describes the main principles of the approach and discusses applications
ranging from image denoising to the analysis of functional and diffusion
weighted Magnetic Resonance experiments
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