Welcome to the homepage of

Simon Setzer

Assistant Professor

Position:    Assistant Professor Phone: +49-681-302-57343 Fax: +49-681-302-57342 E-mail: setzer -at- mia.uni-saarland.de Address: Faculty of Mathematics and Computer Science Saarland University, Building E1.7 66041 Saarbrücken, Germany Office: Room 4.01

In 2006, I received my diploma in mathematics and computer science at the University of Mannheim, Germany. During my diploma studies, I spend one year at the University of Waterloo, Canada. I defended my Ph.D. thesis in December 2009 at the University of Mannheim. My advisor was Prof. Gabriele Steidl.
From January 2010 to July 2010, I was a research visitor funded by the German Academic Exchange Program DAAD at the group of Prof. Stanley Osher at the University of California, Los Angeles.
Since September 2010, I am a member of the Mathematical Image Analysis Group at the Saarland University.

My research is focused on optimization methods for problems which arise in image processing.

• Wavelets and Sparsity (summer term 2012)

• Seminar: Hot Topics in Image Analysis (summer term 2012)

• Image Acquisition Methods (winter term 2011/2012)

• Seminar: Classics in Image Processing (winter term 2011/2012)

• Wavelets and Sparsity (summer term 2011)

• Convex Analysis for Image Processing (winter term 2010/2011)

Preprints

1. T. Goldstein, S. Setzer
   High-order methods for basis pursuit.
   Preprint University of California, Los Angeles, 2010

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Journal Publications



2. S. Setzer, G. Steidl, T. Teuber
   On vector and matrix median computation.
   Journal of Computational and Applied Mathematics, 236(8), pp. 2200-2222, 2011
3. S. Setzer
   Operator Splittings, Bregman Methods and Frame Shrinkage in Image Processing.
   International Journal of Computer Vision, 92(3), pp. 265-280, 2011
4. S. Setzer, G. Steidl, T. Teuber
   Infimal convolution regularizations with discrete l1-type functionals.
   Communications in Mathematical Sciences, 9(3), pp. 797-872, 2011
5. S. Setzer, G. Steidl, T. Teuber
   Deblurring Poissonian images by split Bregman techniques.
   Journal of Visual Communication and Image Representation, 21, pp. 193 - 199, 2010
6. S. Setzer, G. Steidl, T. Teuber, G. Moerkotte
   Approximation related to quotient functionals.
   Journal of Approximation Theory, 162(3), pp. 545-558, 2010
7. S. Didas, S. Setzer, G. Steidl
   Combined l_2 data and gradient fitting in conjunction with l_1 regularization.
   Advances in Computational Mathematics, 30(1), pp. 79 - 99, 2009
8. R. H. Chan, S. Setzer, G. Steidl
   Inpainting by flexible Haar wavelet shrinkage.
   SIAM Journal on Imaging Sciences, 1, pp. 273 - 293, 2008
9. S. Setzer, G. Steidl, T. Teuber
   Restoration of images with rotated shapes.
   Numerical Algorithms, 48, pp. 49 - 66, 2007
10. G. Steidl, S. Setzer, B. Popilka, B. Burgeth
    Restoration of matrix fields by second order cone programming.
    Computing, 81(2-3), pp. 161-178, 2007
11. B. Popilka, S. Setzer, G. Steidl
    Signal recovery from incomplete measurements in the presence of outliers.
    Inverse Problems and Imaging, 1(4), pp. 661-672, 2007

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Conference Proceedings



12. M. Hein, S. Setzer
    Beyond spectral clustering: Relaxations of balanced graph cuts.
    Advances in Neural Information Processing Systems (Proc. NIPS, Dec. 2011, Granada, Spain), 24, 2011
13. L. Hoeltgen, S. Setzer, M. Breuß
    Intermediate Flow Field Filtering in Energy Based Optic Flow Computations.
    To appear in Proc. 8th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2011), St. Petersburg, Russia, July 25-27, 2011
14. S. Setzer
    Split Bregman Algorithm, Douglas-Rachford Splitting and Frame Shrinkage.
    In X.-C. Tai et al. (Ed..): Proceedings of the Second International Conference on Scale Space Methods and
    Proceedings of the 2nd International Conference on Scale Space and Variational Methods in Computer Vision, LNCS, vol. 5567, pp. 464-476, Springer, Berlin, 2009

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Book Chapters



15. S. Setzer, G. Steidl, B. Popilka, B. Burgeth
    Variational methods for denoising matrix fields.
    In D. H. Laidlaw and J. Weickert (Eds.): Visualization and Processing of Tensor Fields: Advances and Perspectives, Springer, Berlin, 2009
16. S. Setzer, G. Steidl
    Variational methods with higher order derivatives in image processing.
    In M. Neamtu and L. L. Schumaker (Eds.): Approximation XII, Nashboro Press, Brentwood, pp. 360 - 386, 2008

• Journal of Mathematical Imaging and Vision
• International Journal of Computer Vision
• Journal of Fourier Analysis and Applications
• Journal of Computational Physics
• Journal of Visual Communication and Image Representation
• Optical Engineering

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