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M. Kirchner, “Spatial extensions to self-modeling curve resolution”, University of Heidelberg, 2004.

T. Wagner, Leue, C., Wenig, M., Pfeilsticker, K., and Platt, U., “Spatial and temporal distribution of enhanced boundary layer BrO concentrations measured by the GOME instrument aboard ERS-2”, J. Geophys. Res., vol. 106, p. 24225--24235, 2001.

B. Jähne, Jähne, B., and Haußecker, H., “Spatial and fourier domain”, Handbook of Computer Vision and Applications. Volume II: Signal Processing and Pattern Recognition. Academic Press, p. 35--66, 1999.

S. Wanner and Goldlücke, B., “Spatial and Angular Variational Super-Resolution of 4D Light Fields”, in European Conference on Computer Vision (ECCV), 2012.

S. Wanner and Goldlücke, B., “Spatial and Angular Variational Superresolution of 4D Light Fields”, in ECCV 2012. Proceedings, Part 5, 2012, vol. 7576, pp. 608-621.

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.

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.

D. Breitenreicher, Lellmann, J., and Schnörr, C., “Sparse Template-Based Variational Image Segmentation”, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.

D. Breitenreicher, Lellmann, J., and Schnörr, C., “Sparse Template-Based Variational Image Segmentation”, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.

Technical Report (866.28 KB)

F. Diego and Hamprecht, F. A., “Sparse Space-Time Deconvolution for Calcium Image Analysis”, in NIPS. Proceedings, 2014, pp. 64-72.

Technical Report (5.27 MB)

C. Rother, “Sparse Higher Order Functions of Discrete Variables–-Representation and Optimization”, research.microsoft.com, vol. 45, 2011.

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.

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.

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.

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 Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets”, SIAM J.~Imag.~Sci., vol. 7, p. 2139--2174, 2014.

Technical Report (802.13 KB)

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 and Berger, J., “Solution-Driven Adaptive Total Variation Regularization”, in LNCS, 2015.

F. Lenzen and Berger, J., “Solution-Driven Adaptive Total Variation Regularization”, in LNCS, 2015.

Technical Report (857.29 KB)

B. Jähne and Herrmann, H., “Softwarekonzepte und Algorithmen für die 3D-Bildverarbeitung”, in 4. ABW Workshop, TA Esslingen 22.--23.01.1997, 1997.

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.

Technical Report (1.09 MB)

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. Beyer, “Skalenraumanalyse nichtlinearer Wasseroberflächenwellen”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1997.

M. Wieler, “Single tone frequency estimation from very few sampling points”, University of Heidelberg, 2006.

J. Yuan, Schnörr, C., and Steidl, G., “Simultaneous Optical Flow Estimation and Decomposition”, SIAM J.~Scientific Computing, vol. 29, pp. 2283-2304, 2007.

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.

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.

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.

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.

R. Küsters, “Simultane Tiefen- und Flussbestimmung pflanzlicher Oberflächen”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2004.

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.

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.

P. Voigt, “Simulation and Measurement of the Water-sided Viscous Shear Stress without Waves”, Institut für Umweltphysik, Universität Heidelberg, Germany, 2019.

F. Herrmannsdörfer, “SimpleSTORM an Efficient Selfcalibrating Reconstruction Algorithm for Single and Multi-Channel Localisation Microscopy”, University of Heidelberg, 2013.

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.

Technical Report (2.29 MB)

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