Wolfgang Heidrich

Professor, Computer Science

Computer, Electrical and Mathematical Science and Engineering Division
Center membership : 
Visual Computing, KAUST Artificial Intelligence Initiative

Computational Imaging Group


Education Profile

  • ​​​​Ph.D., University of Erlangen, 1999
  • M.Math, University of Waterloo, 1996
  • Diploma in Computer Science, University of Erlangen, 1995

Research Interests

Professor Heidrich's core research interests are in computational photography and display, an emerging research area within visual computing, which combines methods from computer graphics, machine vision, imaging, inverse methods, optics and perception to develop new sensing and display technologies.

Computational photography aims to develop new cameras and imaging modalities that optically encode information about the real world in such a way that it can be captured by image sensors. The resulting images represent detailed information such as scene geometry, motion of solids and liquids, multi-spectral information, or high contrast (high dynamic range), which can then be computationally decoded using inverse methods, machine learning, and numerical optimization.

Computational displays use a similar approach, but in reverse. Here, the goal is to computationally encode a target image that is then optically decoded by the display hardware for presentation to a human observer. Computational displays are capable of generating glasses-free 3D displays, high dynamic range imagery, or images and videos with spatial and/or temporal super-resolution.

Selected Publications

  • Low-budget Transient Imaging using Photonic Mixer Devices 
    F. Heide, M. Hullin, J. Gregson, W. Heidrich 
    ACM Transactions on Graphics (Proc. Siggaraph), 32(3):9 pages, July 2013
  • Adaptive Image Synthesis for Compressive Displays F. Heide, G. Wetzstein, R. Raskar, W. Heidrich 
    ACM Transactions on Graphics (Proc. Siggaraph), 2013
  • High-Quality Computational Imaging Through Simple Lenses 
    F. Heide, M. Rouf, M. Hullin, B. Labitzke, W. Heidrich, A. Kolb 
    ACM Transactions on Graphics, 32:10 pages, 2013
  • Stochastic Tomography and its Applications in 3D Imaging of Mixing Fluids 
    J. Gregson, M. Krimerman, M. Hullin, W. Heidrich 
    ACM Transactions on Graphics (Proc. SIGGRAPH), 31(3):52:1–52:10, August 2012
  • Layered 3D: Tomographic Image Synthesis for Attenuation-based Light Field and High Dynamic Range Displays 
    G.Wetzstein, D. Lanman,W. Heidrich, R. Raskar 
    ACM Transactions on Graphics (Proc. SIGGRAPH), 30(3):95:1–95:12, August 2011
  • HDR-VDP-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions 
    R. Mantiuk, K. Kim, A. Rempel,W. Heidrich 
    ACM Transactions on Graphics (Proc. SIGGRAPH), 30(3):40:1–40:14, August 2011