Prof Wolfgang Heidrich (KAUST): Learned Optics: Improving Computational Imaging Systems through Deep Learning and Optimization
24 May 2023, 13-14 h in H-C 7327
The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S).
Computational imaging systems are based on the joint design of optics andassociated image reconstruction algorithms. Historically, many such systemshave employed simple transform-based reconstruction methods. Modernoptimization methods and priors can drastically improve the reconstructionquality in computational imaging systems. Furthermore, learning-basedmethods can be used to design the optics along with the reconstructionmethod, yielding truly end-to-end optimized imaging systems that outperformclassical solutions.
Wolfgang Heidrich is a Mercator fellow at L2S and Professor at the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. Wolfgang Heidrich is a Professor of Computer Science and Electrical and Computer Engineering in the KAUST Visual Computing Center, for which he alsoserved as director from 2014 to 2021. He received his PhD infrom the University of Erlangen in 1999, and then worked as a ResearchAssociate in the Computer Graphics Group of the Max-Planck-Institute for Computer Science in Saarbrucken, Germany, before joining UBC in 2000. Prof.Heidrich’s research interests lie at the intersection of imaging, optics,computer vision, computer graphics, and inverse problems. His more recent interest is in computational imaging, focusing on hardware-software co-design of the next generation of imaging systems, with applications such as High-Dynamic Range imaging, compact computational cameras, and hyperspectral cameras. Prof. Heidrich’s work on High Dynamic Range Displays served as the basis for the technology behind Brightside Technologies, which was acquired by Dolby in 2007. Prof. Heidrich is aFellow of the IEEE and Eurographics, and the recipient of a Humboldt Research Award.
