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Sabine Süsstrunk
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Image and Visual Representation Group
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BIOGRAPHY
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Prof. Sabine Süsstrunk leads the Images and Visual Representation Group in the School of Computer and Communication Sciences (IC) at EPFL since 1999. Her main research areas are in computational photography, color imaging, image quality metrics, and digital image archiving. From 2003-2004, she was a Visiting Scholar in the Computational Color Reproduction Group at Hewlett-Packard Labs in Palo Alto, CA, USA. From 1995-1999, she was the Principle Imaging Researcher at Corbis Corporation in Seattle, WA, USA. From 1991-1995, she was a Visiting Assistant Professor in the School of Photographic Arts and Sciences at the Rochester Institute of Technology (RIT). Sabine served as chair or committee member in many international conferences on color imaging, digital photography, and image systems engineering. She is Associate Editor for the IEEE Transactions on Image Processing and Director of CIE Division 8 (Commission Internationale de l'Eclairage, Imaging Technology) from 2007 to 2011.
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MAIN PUBLICATIONS
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S. Süsstrunk and C. Fredembach.
Enhancing the Visible with the Invisible: Exploiting
Near-Infrared to Advance Computational Photography and Computer
Vision.
In SID International Symposium Digest. SID, 2010.
Invited Paper. For links to the original papers, see url below.
[ Details |
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R. Achanta, S. Hemami, F. Estrada, and S. Süsstrunk.
Frequency-tuned Salient Region Detection.
In IEEE International Conference on Computer Vision
and Pattern Recognition (CVPR), 2009.
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R. Costantini, L. Sbaiz, and S. Süsstrunk.
Higher Order SVD Analysis for Dynamic Texture Synthesis.
IEEE Transactions on Image Processing, 17(1):42-52,
2008.
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L. Meylan and S. Süsstrunk.
High Dynamic Range Image Rendering Using a
Retinex-Based Adaptive Filter.
IEEE Transactions on Image Processing,
15(9):2820-2830, 2006.
Supplementary material available at:
http://ivrg.epfl.ch/supplementary_material/index.html.
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P. Vandewalle, S. Süsstrunk, and M. Vetterli.
A Frequency Domain Approach to Registration of Aliased
Images with Application to Super-Resolution.
EURASIP Journal on Applied Signal Processing (special
issue on Super-resolution), 2006:Article ID 71459, 14 pages, 2006.
Supplementary material available at:
http://ivrg.epfl.ch/supplementary_material/index.html.
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D. Alleysson, S. Süsstrunk, and J. Hérault.
Linear demosaicing inspired by the human visual system.
IEEE Transactions on Image Processing, 14(4):439-449,
2005.
Supplementary material available at:
http://ivrg.epfl.ch/supplementary_material/index.html.
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C. Fredembach, M. Schröder, and S. Süsstrunk.
Eigenregions for Image Classification.
IEEE Transactions on Pattern Analysis and Machine
Intelligence, 26(12):1645-1649, 2004.
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OTHER PUBLICATIONS
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CURRENT WORK
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Near-Infrared: Can we enhance photographs with near-infrared information? Does near-infrared help us better identify scene elements?
Image Saliency: Can we identify what is visually important in images?
Color Matching on uncalibrated devices: Can we retrieve surface reflectances when the imaging device is unknown, and the viewing condition under which the image is taken is unknown?
Image Rendering: How to render the different dynamic ranges of images on different dynamic range displays?
For answers and more information, see ivrg.epfl.ch
IVRG is supported by the Swiss National Science Foundation, NCCR MICS, OCE, Xerox Foundation, and Hewlett-Packard Laboratories.
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