Proximal methods for image processing: An introduction to proxtoolbox for testing algorithms on the Göttingen datasets

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Abstract

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.

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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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