The authors gratefully acknowledge partial financial support for this research by the Heidelberg Collaboratory for Image Processing (HCI) within the Institutional Strategy ZUK49 “Heidelberg: Realizing the Potential of a Comprehensive University”, Measure 6.4 including matching funds from the industry partners of the HCI, especially PCO AG.
About the article
Bernd Jähne received his Diploma, Doctoral degree and Habilitation degree in Physics from Heidelberg University in 1977, 1980, and 1985, respectively, and a Habilitation degree in Applied Computer Science from the University of Hamburg-Harburg in 1992. From 1988 to 2003 he hold a research professorship at the Scripps Institution of Oceanography, University of California in San Diego. Since 1994 he is professor at the Interdisciplinary Center for Scientific Computing (IWR) and Institute for Environmental Physics of Heidelberg University and since 2008 he also heads the Heidelberg Collaboratory for Image Processing (HCI). His research interests include small-scale air-sea interaction and image processing. He chairs the EMVA 1288 committee of the European Machine Vision Association for camera characterization.
Heidelberg University, Heidelberg Collaboratory for Image Processing (HCI), Speyerer Straße 6, 69115 Heidelberg, Germany
Martin Schwarzbauer received his Diploma degree in Electrical and Information Engineering and M.Eng. degree in Electrical and Microsystems Engineering from the University of Applied Sciences, Regensburg, Germany, in 2007 and 2010, respectively. He joined PCO AG, Kelheim, Germany, in 2007 as an R&D hardware engineer. His main focus at PCO started with data interfaces. Later he joined as a founding member the CameraLinkHS standardization committee hosted by the Automated Imaging Association (AIA, Ann Arbor, Michigan, USA) in 2010. Meanwhile he is developing complete camera designs for high-speed and scientific cameras. In 2014 he has started working towards the Ph.D. degree. His research interests are real-time image compression algorithm especially for very high dynamic image data and sensor RAW data.
PCO AG, Donaupark 11 93309 Kelheim, Germany
Published Online: 2015-12-17
Published in Print: 2016-01-28
Citation Information: tm - Technisches Messen, Volume 83, Issue 1, Pages 16–24, ISSN (Online) 2196-7113, ISSN (Print) 0171-8096, DOI: https://doi.org/10.1515/teme-2015-0093.
©2015 B. Jähne and M. Schwarzbauer, published by De Gruyter.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0