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Cambridge Image Analysis
Images: Johannes Hjorth

Cambridge Image Analysis

About the Group


January 2016
Post-doc positions available in new Centre for Mathematical Imaging in Healthcare see

April 2015
Two articles by Cambridge Image Analysis group members have been included in the Highlights of 2014 collection of Inverse Problems, the premier journal on inverse problems. These are A primal-dual hybrid gradient method for non-linear operators with applications to MRI (T. Valkonen), and Total variation regularisation in measurement and image space for PET reconstruction (C.-B. Schönlieb and E. Papoutsellis with external collaborators).

April 2015
Congratulations to Rob Hocking on winning the EPSRC Science Photography Competition in the Discovery Category!

January 2015
Math... it gives you wings!
Our group has been mentioned in +plus magazine's image of the week.

January 2015
Congratulations to Luca Calatroni on winning the first prize in the TakeAIM competition of the Smith institute!

January 2015
Research Horizons: Spotlight on Imaging

Dr Carola-Bibiane Schönlieb is head of the Cambridge Image Analysis Group (CIA) in DAMTP specialising in the mathematics of digital image and video processing using partial differential equations and variational methods. Our research ranges from the modelling and analysis of such methods to their computational realisation and application. In particular, we are interested in

  • Image retrieval and enhancement from corrupted and under sampled measurements
  • Compressed sensing
  • Sparsity promoting regularisation such as total variation and higher-order regularisation
  • Image restoration
  • Image segmentation and object tracking
  • Large scale computing
  • Applications in processing of photographs, biomedical imaging (MRI, PET/SPECT, microscopy imaging), arts restoration, forensics, just to name a few. 

For more details see our Research page.
This group is mainly funded by EPSRC, the Leverhulme Trust, the Newton Trust, the Wellcome Trust, and the Royal Society. Logos