Integrating real-time and post-processing Image Restoration (PhD 3) and Design and development of 2 Demonstrators (PhD 4)
|Project members:||prof.dr.ir. M. Verhaegen (Michel), Two PhD positions (Vacancies)|
|Keywords:||Optics and imaging, Control of high-resolution imaging, Distributed estimation and control, Machine learning, Spatial-temporal large-scale systems|
|Sponsored by:||European Research Council|
|Principal Investigator:||Prof. Michel Verhaegen|
(Team Leader of the Numerics for Control and Identification Group)
For the restoration of images knowledge of the spatial-temporal dynamics of the aberrations is crucial. In the new context of the iCON Advanced Grant Research Project sponsored by the European Research Council, image restoration will be addressed within the context of real-time feedback control, making use of actuators like deformable lenses or mirrors in addition to classically used image sensors.
In this project the mathematical model information and updating acquired via the new Subspace Identification methods and the restoration results by the Robust real-time feedback control methods will be integrated with post-processing image restoration. The challenges are comparable with those in Objective 3, however now for the off-line operation both temporally causal and anti-causal operations can be used.
The validation of the new algorithms in Objective 1 to 4 will be done in 2 state of the art demonstrators will be developed in the Smart Optics Laboratory of Prof. Michel Verhaegen. The first demonstrator is a breadboard emulating the large dimensionality of the Adaptive Optics control problem in the European Extreme Large Telescope and the second is about multi-photon microscopy.
iCON is sponsored by the Advanced Grant Program of the European Research Council. This funding will bring a core team of 6 temporary researchers together with world wide leading experts for a period of 4 years starting early 2015.