A Unified Bayesian Approach to Multi-Frame Super-Resolution and Single-Image Upsampling in Multi-Sensor Imaging

Köhler T, Jordan JM, Maier A, Hornegger J (2015)

Publication Type: Conference contribution

Publication year: 2015

Publisher: BMVA Press

City/Town: Swansea, Wales

Pages Range: 143.1-143.12

Conference Proceedings Title: Proceedings of the British Machine Vision Conference (BMVC)

Event location: Swansea, Wales

ISBN: 1-901725-53-7

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Koehler15-AUB.pdf

Authors with CRIS profile

Thomas Köhler Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Johannes Michael Jordan Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Joachim Hornegger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

How to cite

APA:

Köhler, T., Jordan, J.M., Maier, A., & Hornegger, J. (2015). A Unified Bayesian Approach to Multi-Frame Super-Resolution and Single-Image Upsampling in Multi-Sensor Imaging. In Proceedings of the British Machine Vision Conference (BMVC) (pp. 143.1-143.12). Swansea, Wales: Swansea, Wales: BMVA Press.

MLA:

Köhler, Thomas, et al. "A Unified Bayesian Approach to Multi-Frame Super-Resolution and Single-Image Upsampling in Multi-Sensor Imaging." Proceedings of the 26th British Machine Vision Conference (BMVC 2015), Swansea, Wales Swansea, Wales: BMVA Press, 2015. 143.1-143.12.

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