Welcome to the homepage of

Sebastian Hoffmann

Research Assistant


Position:    Research Assistant
Phone: +49-681-302-57358
E-mail: hoffmann -at- mia.uni-saarland.de
Address: Mathematical Image Analysis Group
Faculty of Mathematics and Computer Science, Campus E1.7
66123 Saarbrücken, Germany
Office: Room 4.05
Building E1.7, Saarbrücken Campus

see also Contact


  • PDE Based Image Compression

    Conference Papers


  • P. Peter, S. Hoffmann, F. Nedwed, L. Hoeltgen, J. Weickert:
    From optimised inpainting with linear PDEs towards competitive image compression codecs.
    To appear in T. Bräunl, B. McCane, M. Rivers, X. Yu (Eds.): Advances in Image and Video Technology. Lecture Notes in Computer Science, Springer, Berlin, 2015.

  • S. Hoffmann, G. Plonka, J. Weickert:
    Discrete Green's functions for harmonic and biharmonic inpainting with sparse atoms.
    In X.-C. Tai, E. Bae, T. F. Chan, M. Lysaker (Eds.): Energy Minimization Methods in Computer Vision and Pattern Recognition. Lecture Notes in Computer Science, Springer, Vol. 8932, 169-182, Berlin, 2015.

  • S. Hoffmann, M. Mainberger, J. Weickert, M. Puhl:
    Compression of depth maps with segment-based homogeneous diffusion.
    In A. Kuijper, K. Bredies, T. Pock, H. Bischof (Eds.): Scale-Space and Variational Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 7893, 319-330, Springer, Berlin, 2013.

  • M. Mainberger, S. Hoffmann, J. Weickert, C. H. Tang, D. Johannsen, F. Neumann, B. Doerr:
    Optimising Spatial and Tonal Data for Homogeneous Diffusion Inpainting.
    In A. M. Bruckstein, B. ter Haar Romeny, A. M. Bronstein, M. M. Bronstein (Eds.):
    Scale Space and Variational Methods in Computer Vision, Proc. Third International Conference, Ein Gedi, Israel, May/June 2011.
    Lecture Notes in Computer Science, Vol. 6667, 26-37, Springer, Berlin, 2012.

  • Technical Reports


  • P. Peter, S. Hoffmann, F. Nedwed, L. Hoeltgen, J. Weickert:
    Evaluating the True Potential of Diffusion-Based Inpainting in a Compression Context.
    Technical Report No. 373, Department of Mathematics, Saarland University, Saarbrücken, Germany, January 2016.

  • G. Plonka, S. Hoffmann, J. Weickert:
    Pseudo-inverses of Difference Matrices and Their Application to Sparse Signal Approximation.
    arXiv:1504.04266 [math.NA], April 2015.

  • Book Chapters


  • L. Hoeltgen, M. Mainberger, S. Hoffmann, J. Weickert, C. H. Tang, S. Setzer, D. Johannsen, F. Neumann, B. Doerr:
    Optimising spatial and tonal data for PDE-based inpainting.
    To appear in M. Bergounioux, G. Peyré, C. Schnörr (Eds.): Variational Methods in Image Analysis. De Gruyter, Berlin, 2016.
    Also available as arXiv:1506.04566 [cs.CV], June 2015.

  • Theses


  • S. Hoffmann
    Analysis of non-mass like tumors in breast MRI using methods of optical flow, segmentation and data mining
    Master's Thesis in Visual Computing, Dept. of Computer Science,
    Saarland University, Saarbrücken, Germany, December 2011.

  • S. Hoffmann
    Grey-value optimisation in PDE-based image compression
    Bachelor's Thesis in Computer Science, Dept. of Computer Science,
    Saarland University, Saarbrücken, Germany, August 2010.



  • Jing Niu: A Steganography Inspired Application of Hiding a High Resolution Image in its Low Resolution Version.
    M.Sc. Thesis in Computer Science 2015.
  • Ayadi Chouikhi: Segmentation of Steel Microstructure Images using an Adapted Chan-Vese Approach.
    Internship Thesis (Stage) in Computer Science (2014).
    Joint Project with the Material Engineering Center Saarland (MECS).
  • Markus Schneider: Image Compression with Homogeneous Diffusion Inpainting on Level Lines.
    B.Sc. Thesis in Computer Science (2013).
  • Michael Puhl: Edge Based Image Compression with Mixed Boundary Conditions.
    B.Sc. Thesis in Computer Science (2012).




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