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C. Schnörr, Signal and Image Approximation with Level-Set Constraints, Computing, vol. 81, pp. 137-160, 2007.PDF icon Technical Report (506.8 KB)
B. Jähne, Signifikanter Umbruch zeichnet sich ab - Aktuelle Entwicklungen in der Bildverarbeitung. 2008.
M. Hanselmann, Voss, B., Renard, B. Y., Lindner, M., Köthe, U., Kirchner, M., and Hamprecht, F. A., SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists, Bioinformatics, vol. 27 (7), pp. 987-993, 2011.PDF icon Technical Report (2.2 MB)
B. Jähne, SIMD-Bildverarbeitungsalgorithmen mit dem Multimedia Extension-Instruktionssatz (MMX) von Intel, Automatisierungstechnik, vol. 10, p. 453--460, 1997.
F. Huhn, A Simple Instrument for the Measurement of the Slope and Height Distributions of Small Scale Wind-Driven Water Waves, Institute for Environmental Physics, University of Heidelberg, 2008.
U. Köthe, Herrmannsdörfer, F., Kats, I., and Hamprecht, F. A., SimpleSTORM: a fast, self-calibrating reconstruction algorithm for localization microscopy, Histochemistry and Cell Biology, vol. 141, pp. 613-627, 2014.PDF icon Technical Report (2.29 MB)
F. Herrmannsdörfer, SimpleSTORM an Efficient Selfcalibrating Reconstruction Algorithm for Single and Multi-Channel Localisation Microscopy, University of Heidelberg, 2013.
P. Voigt, Simulation and Measurement of the Water-sided Viscous Shear Stress without Waves, Institut für Umweltphysik, Universität Heidelberg, Germany, 2019.
B. Jähne, Simulation der Austauschprozesse an der Ozeanoberfläche im Labor: das neue Heidelberger Aeolotron, in Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Hamburg, 26.-30.03.2001, 2001.
S. Meister, Nair, R., and Kondermann, D., Simulation of Time-of-Flight Sensors using Global Illumination, in Vision, Modeling and Visualization (VMV), 2013 International Workshop on. Proceedings, 2013, pp. 33-40.
R. Küsters, Simultane Tiefen- und Flussbestimmung pflanzlicher Oberflächen. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2004.
M. Klar, Jehle, M., Detert, M., Jirka, G. H., Jähne, B., Köhler, H. - J., and Wenka, T., Simultaneous 3D PTV and micro-pressure sensor equipment for flow analysis in subsurface gravel layer, in Proc. of River Flow 2004, 2004, p. 703--712.
A. G. Herzog, Friedl, F., and Jähne, B., Simultaneous high-resolution LIF measurements of dissolved gas concentration fields and measurements of wave slope at a wavy free water surface with wind-induced turbulence, in 15h Int. Symp on Appl. Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 05--08, 2010, 2010.
B. Jähne, Simultaneous measurements of solubilities and diffusion coeffcients of volatile species in liquids, in 7th SOPRAN Annual Meeting, Bremen, Germany, 25-26 March 2014, 2014.
J. Yuan, Schnörr, C., and Steidl, G., Simultaneous Optical Flow Estimation and Decomposition, SIAM J.~Scientific Computing, vol. 29, pp. 2283-2304, 2007.PDF icon Technical Report (1.16 MB)
J. Yuan, Schnörr, C., and Steidl, G., Simultaneous Optical Flow Estimation and Decomposition, SIAM J. Scientific Computing, vol. 29, pp. 2283-2304, 2007.
M. Wieler, Single tone frequency estimation from very few sampling points, University of Heidelberg, 2006.
M. Beyer, Skalenraumanalyse nichtlinearer Wasseroberflächenwellen. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1997.
U. Schimpf, Haußecker, H., Jähne, B., Jähne, B., and Haußecker, H., Small-scale air-sea interaction with thermography, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 638--639, 2000.
M. Storath, Kiefer, L., and Weinmann, A., Smoothing for signals with discontinuities using higher order Mumford-Shah models, Numerische Mathematik, vol. 143(2), pp. 423-460, 2019.PDF icon Technical Report (1.09 MB)
B. Jähne and Herrmann, H., Softwarekonzepte und Algorithmen für die 3D-Bildverarbeitung, in 4. ABW Workshop, TA Esslingen 22.--23.01.1997, 1997.
F. Lenzen and Berger, J., Solution-Driven Adaptive Total Variation Regularization, in LNCS, 2015.PDF icon Technical Report (857.29 KB)
F. Lenzen and Berger, J., Solution-Driven Adaptive Total Variation Regularization, in LNCS, 2015.
C. Pape, Beier, T., Li, P., Jain, V., Brock, D. D., and Kreshuk, A., Solving Large Multicut Problems for Connectomics via Domain Decomposition, Bioimage Computing Workshop. ICCV. pp. 1-10, 2017.
F. Lenzen, Lellmann, J., Becker, F., and Schnörr, C., Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets, SIAM J.~Imag.~Sci., vol. 7, p. 2139--2174, 2014.PDF icon Technical Report (802.13 KB)
F. Lenzen, Lellmann, J., Becker, F., and Schnörr, C., Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets, SIAM J. Imag. Sci., vol. 7, pp. 2139–2174, 2014.
F. Lenzen, Lellmann, J., Becker, F., and Schnörr, C., Solving QVIs for Image Restoration with Adaptive Constraint Sets, SIAM Journal on Imaging Sciences (SIIMS), in press, 2014.
M. Atif, Zimmermann, K., and Jähne, B., A space-variant (3D) image simulation tool for computational cameras, in International Conference on Computational Photography (ICCP) 2010, 2010.
S. Peter, Kirschbaum, E., Both, M., Campbell, L. A., Harvey, B. K., Heins, C., Durstewitz, D., Diego, F., and Hamprecht, F. A., Sparse convolutional coding for neuronal assembly detection, NIPS, poster. 2017.
C. Rother, Sparse Higher Order Functions of Discrete Variables–-Representation and Optimization, research.microsoft.com, vol. 45, 2011.
F. Diego and Hamprecht, F. A., Sparse Space-Time Deconvolution for Calcium Image Analysis, in NIPS. Proceedings, 2014, pp. 64-72.PDF icon Technical Report (5.27 MB)
D. Breitenreicher, Lellmann, J., and Schnörr, C., Sparse Template-Based Variational Image Segmentation, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.PDF icon Technical Report (866.28 KB)
D. Breitenreicher, Lellmann, J., and Schnörr, C., Sparse Template-Based Variational Image Segmentation, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.
S. Petra, Schröder, A., Wieneke, B., and Schnörr, C., On Sparsity Maximization in Tomographic Particle Image Reconstruction, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 294--303.PDF icon Technical Report (1014.71 KB)
S. Petra, Schröder, A., Wieneke, B., and Schnörr, C., On Sparsity Maximization in Tomographic Particle Image Reconstruction, in Pattern Recognition – 30th DAGM Symposium, 2008, vol. 5096, pp. 294–303.

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