In this tutorial on proximal methods for image processing we provide an overview of proximal methods for a general audience, and illustrate via several examples the implementation of these methods on data sets from the collaborative research center at the University of G$$\ddot{o}$$ttingen. The ProxToolbox is a collection of routines that process simulated and raw image data. We use the toolbox not only for research purposes, but also as a teaching tool, to give beginning students access to relevant, laboratory data, upon which they can test their understanding of algorithms and experiment with new ideas.
CITATION STYLE
Luke, D. R. (2020). Proximal methods for image processing: An introduction to proxtoolbox for testing algorithms on the Göttingen datasets. In Topics in Applied Physics (Vol. 134, pp. 165–202). Springer. https://doi.org/10.1007/978-3-030-34413-9_6
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