Agenda
Signal Processing Seminar
- Wednesday, 8 January 2020
- 10:00-11:00
- HB 17.150
Efficient Algorithms for Convolutional Inverse Problems in Multidimensional Imaging
Didem Doğan BaşkayaComputational imaging is the process of indirectly forming images from measurements using image reconstruction algorithms that solve inverse problems. In many inverse problems in multidimensional imaging such as spectral and depth imaging, the measurements are in the form of superimposed convolutions related to the unknown image. In this presentation, we first provide a general formulation for these problems named as convolutional inverse problems, and then present fast image reconstruction algorithms that exploit sparse models in analysis and synthesis forms. These priors involve sparsifying transforms or data-adaptive dictionaries that are patch-based and convolutional. The numerical performance of the developed algorithms is evaluated for a three-dimensional image reconstruction problem in spectral imaging. The results demonstrate the superiority of the convolutional dictionary prior over others. The developed algorithms are also extended to the compressive setting with compressed convolutional measurements.
Agenda
- Thu, 25 Apr 2024
- 11:00
- HB 17.140
Signal Processing Seminar
Yanbin He
Modelling Error Correction in Sparse Bayesian Learning via Grid Optimization
- Tue, 30 Apr 2024
- 10:00
- HB18.090
MSc SPS Thesis presentation
Wim Kok
A SystemC SNN model for power trace generation
- Mon, 6 May 2024
- 12:30
- Aula Senaatszaal
PhD Thesis Defence
Christoph Manss
Multi-agent exploration under sparsity constraints
- Tue, 21 May 2024
- 10:00
- Aula Senaatszaal
PhD Thesis Defence
Wangyang Yu
- 27 -- 28 May 2024
- Aula, TU Delft
Conferences
44th Benelux Symposium on Information Theory and Signal Processing (SITB'24, Delft)
- Tue, 18 Jun 2024
- 15:00
- Aula Senaatszaal
PhD Thesis Defence
Hanie Moghaddasi
Model-based feature engineering of atrial fibrillation
- Mon, 24 Jun 2024
- Aula, TU Delft