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A. Schapowalow, “Implementierung der Focus-Sweep Technik mit Hilfe von Scheimpflugoptik und TDI-Technik”, Fakultät für Mathematik und Informatik, Ruprecht-Karls-Universität Heidelberg, Germany, 2011.
B. Jähne and Jähne, B., “Impact of quantitative visualization and image processing on the study of small-scale air-sea interaction”, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 3--12.
E. Meijering, Carpenter, A. E., Peng, H., Hamprecht, F. A., and Olivo-Marin, J., “Imagining the future of bioimage analysis”, Nature Biotechnology, vol. 34, no. 12, pp. 1250-1255, 2016.PDF icon Technical Report (924.57 KB)
R. Rocholz and Jähne, B., “Imaging System for combined slope/height measurements of short wind waves : ISHG”, in Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006, 2006.
P. Geißler, Jähne, B., Geißler, P., and Haußecker, H., “Imaging optics”, Handbook of Computer Vision and Applications, vol. 1: Sensors and Imaging. Academic Press, p. 63--101, 1999.
P. Geißler and Jähne, B., “Imaging optics”, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 53--84, 2000.
B. Jähne and Geißler, P., “An imaging optical technique for bubble measurements”, in Proc. Sea Surface Sound '94, 1995, p. 290--296.
A. G. Herzog, “Imaging of Water-sided Gas-Concentration Fields at a Wind-Driven, Wavy Air-Water Interface”, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2010.
B. Jähne, Klinke, J., and Waas, S., “Imaging of short ocean wind waves: a critical theoretical review”, J. Opt. Soc. Am. A, vol. 11, p. 2197--2209, 1994.
B. Jähne, “Imaging of gas transfer across gas/liquid interfaces”, in Imaging in Transport Processes, 1993, p. 247--256.
A. Falkenroth and Jähne, B., “Imaging concentration profiles of water boundary layer by Double-Dye LIF and inverse modelling”, in Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006, 2006.
M. Frank and Hamprecht, F. A., “Image-Based Supervision of a Periodically Working Machine”, Pattern Analysis and Applications, pp. 1-10, 2011.PDF icon Technical Report (466.61 KB)
E. Töppe, Oswald, M. R., Cremers, D., and Rother, C., “Image-based 3D modeling via cheeger sets”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6492 LNCS, pp. 53–64.
P. Esser, Rombach, R., Blattmann, A., and Ommer, B., “ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis”. 2021.
B. Jähne, Jähne, B., and Haußecker, H., “Image warping”, Handbook of Computer Vision and Applications. Volume II: Signal Processing and Pattern Recognition. Academic Press, p. 193--206, 1999.
M. Wenig, Leue, C., Kraus, S., Wagner, T., Platt, U., and Jähne, B., “Image sequence analysis of satellite NO$_2$ concnetration maps”, in Pattern Recognition, 23rd DAGM Symposium Munich, 2001, vol. 2191, p. 223--230.
B. Jähne, Klinke, J., Geißler, P., and Hering, F., “Image sequence analysis of ocean wind waves”, in Imaging in Transport Processes, 1993, p. 257--268.
B. Jähne, “Image sequence analysis of complex physical objects: nonlinear small scale water surface waves”, in Proc. of 1st International Conference on Computer Vision, 1987, p. 191--200.
B. Jähne, “Image sequence analysis in environmental and live sciences”, in Proceedings of the 25th DAGM Symposium on Pattern Recognition, 2003, vol. 2781, p. 608--617.
M. Geese, “Image Sensor Nonuniformity Correction by a Scene-Based Maximum Likelihood Approach”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2013.
M. Geese, “Image Sensor Nonuniformity Correction by a Scene-Based Maximum Likelihood Approach”, vol. Dissertation. IWR, Univ. Heidelberg, 2013.
V. Lempitsky, Kohli, P., Rother, C., and Sharp, T., “Image segmentation with a bounding box prior”, in Proceedings of the IEEE International Conference on Computer Vision, 2009, pp. 277–284.
V. Lempitsky, Blake, A., and Rother, C., “Image segmentation by branch-and-mincut”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5305 LNCS, pp. 15–29.
V. Lempitsky, Blake, A., and Rother, C., “Image segmentation by branch-and-mincut”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5305 LNCS, pp. 15–29.
M. Zisler, Aström, F., Petra, S., and Schnörr, C., “Image Reconstruction by Multilabel Propagation”, in Proc. SSVM, 2017, vol. 10302.
J. Schleicher, “Image Processing for Super-Resolution Localization Microscopy Utilizing an FPGA Accelerator”, University of Heidelberg, 2011.
F. Aström, Petra, S., Schmitzer, B., and Schnörr, C., “Image Labeling by Assignment”, J. Math. Imag. Vision, vol. 58, pp. 211–238, 2017.
F. Aström, Petra, S., Schmitzer, B., and Schnörr, C., “Image Labeling by Assignment”. 2016.
R. Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., “Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment”, SIAM Journal on Imaging Sciences, vol. 11, no. 2, pp. 1317-1362, 2018.PDF icon Technical Report (2.62 MB)
R. Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., “Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment”, SIAM J. Imaging Science, vol. 11, pp. 1317–1362, 2018.
R. Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., “Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment”. 2017.
C. Schellewald, Keuchel, J., and Schnörr, C., “Image labeling and grouping by minimizing linear functionals over cones”, in Proc. Third Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'01), INRIA, Sophia Antipolis, France, 2001, vol. 2134, pp. 267–282.
F. O. Kaster, “Image Analysis for the Life Sciences - Computer-assisted Tumor Diagnostics and Digital Embryomics”. University of Heidelberg, 2011.
H. Haußecker, Jähne, B., Geißler, P., and Haußecker, H., “Illumination sources and techniques”, Handbook of Computer Vision and Applications, vol. 1: Sensors and Imaging. Academic Press, p. 137--162, 1999.
S. Berg, Kutra, D., Kroeger, T., Straehle, C. N., Kausler, B. X., Haubold, C., Schiegg, M., Ales, J., Beier, T., Rudy, M., Eren, K., Cervantes, J. I., Xu, B., Beuttenmüller, F., Wolny, A., Zhang, C., Köthe, U., Hamprecht, F. A., and Kreshuk, A., “ilastik: interactive machine learning for (bio)image analysis”, Nature Methods, vol. 16, pp. 1226-1232, 2019.

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