Article ID Journal Published Year Pages File Type
415045 Computational Statistics & Data Analysis 2012 16 Pages PDF
Abstract

It is shown how to choose the smoothing parameter in image denoising by a statistical multiresolution criterion, both globally and locally. Using inhomogeneous diffusion and total variation regularization as examples for localized regularization schemes, an efficient method for locally adaptive image denoising is presented. As expected, the smoothing parameter serves as an edge detector in this framework. Numerical examples together with applications in confocal microscopy illustrate the usefulness of the approach.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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