Projects
Model-based image computing for multi-X medical image data. KU Leuven
A new methodology for the design of application-tuned image reconstruction and restoration algorithms. Ghent University
Digital imaging systems are ubiquitous and impact many fields of research and industry, from (biomedical) electron microscopy to radio astronomy. Nearly all systems use some form of digital image restoration or reconstruction algorithm (DRA) to either improve image quality or as an essential part of their operation. The large impact of DRAs has enabled new applications, such as light field cameras, heterogeneous sensor devices, microwave ...
Strategic Research Programme: Processing of large scale multi-dimensional, multi-spectral, multi-sensorial and distributed data (M³D²) Vrije Universiteit Brussel
International Joint Research Group - Joint Laboratory on Audio Visual Signal Processing Vrije Universiteit Brussel
3D hyperspectral point cloud processing for smarter UAVs Ghent University
Nowadays, Unmanned Aerial Vehicles (UAVs) are often employed as a measuring or monitoring device in a wide range of remote sensing applications: e.g., in precision agriculture (the need for observing the inter- and intra-variability in crops), in infrastructure inspection (the need for detecting defects) or in culture heritage digitization (the need for creating a digital twin). Today, a correct interpretation of UAV captured image data is ...
Sub-Nyquist signal processing in marine radar. University of Antwerp
Quantitative automatic analysis of confocal digital images of the cornea Ghent University
This proposal aims to develop and validate algorithms for image quality improvement, segmentation and extraction of clinically relevant parameters, for automated quantitative analysis of confocal digital images of the cornea. This is done to reduce the analysis time and to avoid subjective errors associated with manual, or a semi-automatically work made by the medical specialist.
Statistical Modeling and Estimation of Simultaneous Degradations in Digital Images Ghent University
In digital still camera and medical imaging devices there is a trend to increase the image resolution, to use shorter acquisition times and lower radiation doses. This causes many challenges for the processing techniques in the devices. In this project, we will develop statistical models and estimation techniques for multiple simultaneous degradations in images, in order to further improve existing image reconstruction techniques. We ...