AIMS OF RESEARCH WITHIN PROJECT I
- Irregular sampling
- Interpolation to 3D data and image sequences;
- Generating slice-views of 3D bodies from scattered data;
- Testing new methods on old movie reconstruction (Cambridge);
-
Gabor Analysis and Applications
- Dual Gabor atoms for 2D (completely non-separable);
- Math. foundations for truly multi-dimensional Gabor analysis methods;
- Underspread environments (slowly varying linear systems);
- Stochastic Signal Processing
- Statistical analysis of optimization algorithms;
- Random irregular sampling results,
(statistical evaluation versus worst case);
- Statistical signal processing;
- Parallel Processing:
- Parallel algorithms at large scale (VCPC-cooperation);
- Handling of large data sets (image collections);
- Almost all of the algorithms developed allow natural parallelization;
- Transform Methods:
- Lossy image compression, also trying 2D-Wilson bases;
- Reconstruction of signals from incomplete
Gabor- or wavelet transform;
- TF-filtering of images, using Gabor expansions;