Welcome to the homepage of

Joachim Weickert

Professor of Mathematics and Computer Science

Office Hour:	Tuesday, 14:15-15:15
Phone:	+49-681-302-57340
Secretary:	+49-681-302-57341 (Ellen Wintringer)
Fax:	+49-681-302-57342
E-Mail:	weickert -at- mia.uni-saarland.de   (please replace anti-spam -at- by @)
Address:	Faculty of Mathematics and Computer Science
	Saarland University, Campus E1.7
	66041 Saarbrücken, Germany
Office:	Room 4.23 (Building E1.7, Saarbrücken Campus, visitor information)
WWW:	http://www.mia.uni-saarland.de/weickert

Joachim Weickert is professor of mathematics and computer science at Saarland University where he heads the Mathematical Image Analysis Group. He received a diploma and a Ph.D. degree in mathematics from the University of Kaiserslautern (1991, 1996), and a habilitation degree in computer science from the University of Mannheim (2001). He worked as research assistant at the University of Kaiserslautern, as post-doctoral researcher at the universities of Utrecht and Copenhagen, and as assistant professor at the University of Mannheim.

Joachim Weickert performs research in image processing, computer vision and scientific computing, focussing on techniques based on partial differential equations, variational principles, wavelets, morphological and nonlocal methods. He has developed mathematical models and efficient numerical algorithms for image restoration, enhancement, segmentation, compression, optic flow computation, stereo reconstruction, shape from shading, as well as signal processing methods for tensor fields. These ideas have entered a number of applications in industry, biomedical image analysis and other fields.

The scientific work of Joachim Weickert covers more than 250 refereed publications. They have led to over 14000 citations and an h-index of 56. Joachim Weickert is editor-in-chief of the Journal of Mathematical Imaging and Vision. He has served in the editorial boards of nine international journals and has been reviewer for more than 60 journals and 18 funding organisations. He has given over 140 invited talks at conferences, workshops and other universities, and was area chair of six ECCV or ICCV conferences. Joachim Weickert has received 20 research, teaching and reviewing awards, including a Gottfried Wilhelm Leibniz Prize which is the highest German research award. He is elected member of the Academia Europaea - The Academy of Europe.

At Saarland University, Joachim Weickert is initiator and head of a Master Programme in Visual Computing, which is the first of its kind in Germany and uses English as language of instruction. Since 2002 he has supervised about 200 bachelor, master or diploma theses. He has established many interdisciplinary collaborations with colleagues from medicine, bioinformatics, pharmacy, physics, mechatronics, and mechanical engineering. He is Principal Investigator for Visual Computing within the Multimodal Computing and Interaction Cluster of Excellence, and he serves in the Steering Committee of the Intel Visual Computing Institute. From 2008 to 2010, Joachim Weickert was dean of the Faculty of Mathematics and Computer Science.

More Details on Recent or Forthcoming Activities:

More Information

Differential Equations in Image Processing and Computer Vision

Proseminar: Nichtnegative und total positive Matrizen

Oberseminar Mathematische Bildanalyse

Oberseminar Angewandte Mathematik

If you have enjoyed the classes of our group and consider writing your thesis with us, here is some information for prospective students.

International Journal of Computer Vision (2003-)

Inverse Problems and Imaging (2007-)

International Journal of Electrical and Computer Engineering Systems (2010-)

Journal of Visual Communication and Image Representation (2009-)

Electronic Letters on Computer Vision and Image Analysis (2002-)

Journal of Mathematical Imaging and Vision (2007-2011, afterwards Editor-in-Chief)

Foundations and Trends in Computer Graphics and Vision (2005-)

Journal of Algorithms in Cognition, Informatics and Logic (2010-)

IEEE Transactions on Pattern Recognition and Machine Intelligence (2006-2010)

1. J. Weickert:
   Anisotropic Diffusion in Image Processing.
   Teubner, Stuttgart, 1998.
   [More information and free download]
   Cited more than 1700 times.
2. J. Weickert, B.M. ter Haar Romeny, M.A. Viergever:
   Efficient and reliable schemes for nonlinear diffusion filtering.
   IEEE Transactions on Image Processing, Vol. 7, No. 3, 398-410, March 1998.
   Cited more than 900 times.
3. J. Weickert, S. Ishikawa, A. Imiya:
   Linear scale-space has first been proposed in Japan.
   Journal of Mathematical Imaging and Vision, Vol. 10, 237-252, 1999.
   Revised version of Technical Report DIKU-97/18, Dept. of Computer Science, University of Copenhagen, Denmark, 1997.
4. J. Weickert, C. Schnörr:
   A theoretical framework for convex regularizers in PDE-based computation of image motion.
   International Journal of Computer Vision, Vol. 45, No. 3, pp. 245-264, December 2001.
   Revised version of Technical Report No. 13/2000, Computer Science Series, University of Mannheim, Germany, June 2000.
5. T. Brox, A. Bruhn, N. Papenberg, J. Weickert:
   High accuracy optical flow estimation based on a theory for warping.
   In T. Pajdla, J. Matas (Eds.): Computer Vision - ECCV 2004. Lecture Notes in Computer Science, Vol. 3024, Springer, Berlin, 25-36, 2004.
   Awarded the 2004 ECCV Longuet-Higgins Prize (best paper under 555 submissions).
   Cited more than 800 times.
6. G. Steidl, J. Weickert, T. Brox, P. Mrázek, M. Welk:
   On the equivalence of soft wavelet shrinkage, total variation diffusion, total variation regularization, and SIDEs.
   SIAM Journal on Numerical Analysis, Vol. 42, No. 2, 686-713, 2004.
   Shortened version of Technical Report No. 94, Dept. of Mathematics, Saarland University, Saarbrücken, Germany, August 2003.
7. M. Welk, G. Steidl, J. Weickert:
   Locally analytic schemes: a link between diffusion filtering and wavelet shrinkage.
   Applied and Computational Harmonic Analysis, Vol. 24, 195–224, 2008.
8. I. Galić, J. Weickert, M. Welk, A. Bruhn, A. Belyaev, H.-P. Seidel:
   Image compression with anisotropic diffusion.
   Journal of Mathematical Imaging and Vision, Vol. 31, 255–269, 2008.
9. Z. Belhachmi, D. Bucur, B. Burgeth, J. Weickert:
   How to choose interpolation data in images.
   SIAM Journal on Applied Mathematics, Vol. 70, No. 1, 333-352, 2009.
   Revised version of Technical Report No. 205, Department of Mathematics, Saarland University, Saarbrücken, Germany, 2008.
10. S. Grewenig, J. Weickert, C. Schroers, A. Bruhn:
    Cyclic Schemes for PDE-Based Image Analysis.
    Technical Report No. 327, Dept. of Mathematics, Saarland University, Saarbrücken, Germany, March 2013. Submitted for publication.

There is also a full publication list available.

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