stable evaluation of differential operators and linear and nonlinear multi-scale filtering

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ID: 172440
1997
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Abstract
Diffusion processes create multi--scale analyses, which enable the generation of simplified pictures, where for increasing scale the image gets sketchier. In many practical applications the ``scaled image'' can be characterized via a variational formulation as the solution of a minimization problem involving unbounded operators. These unbounded operators can be evaluated by regularization techniques. We show that the theory of stable evaluation of unbounded operators can be applied to efficiently solve these minimization problems.
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scherzer1997electronicstable Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Otmar Scherzer
Journal icsoft 2006 - 1st international conference on software and data technologies, proceedings
Year 1997
DOI
DOI not found
URL
http://ejde.math.txstate.edu/Volumes/1997/15/abstr.html
Keywords
mathematics inverse problems regularization image reconstruction

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