Fredrik Bajers Vej 5
P.O. Box 159 DK-9100 Aalborg
Phone: +45 9940 9940
22.06.2017 kl. 13.00 - 16.00
Algorithms for Reconstruction of Undersampled Atomic Force Microscopy images
An atomic force microscope is capable of measuring the topography of a surface on a nano meter scale by moving a cantilever with a tiny tip at its end across the surface. The flexibility in the choice of the scan pattern, that the cantilever follows, allows for undersampling of the surface, i.e. measuring only a part of the surface. In order to display an image of the entire surface, algorithms for reconstructing the missing parts are required. Such algorithms provide a description of the computations needed to estimate the topography of the entire surface being imaged. If the time it takes to do the computations is small compared to the time saved by only acquiring a part of the surface, a speed-up in the entire imaging process is achievable. An image acquisition speed-up may potentially enable applications such as surface “pre-viewing”, video-rate imaging, or super resolution imaging.
We describe and discuss algorithms for reconstructing undersampled atomic force microscopy images or other similar types of high dimensional signals. In particular, our contributions relate to the design of algorithms that not only exploit sparsity but structured sparsity. That is, algorithms that exploit the structure in prior information about an image to guide the reconstruction of the image. We show that such structure may be used to improve the estimate of the full topography surface compared to the estimate obtained by algorithms relying only on sparsity.
Since our proposed algorithms are primarily evaluated empirically through simulations, a major part of our work has been devoted to ensuring correctness and reproducibility of our computational results. Towards this end, we present our proposed methods for storing experiment metadata and applying best practices to obtain reproducible and correct computational results.
Associate Professor Zheng-Hua Tan, Aalborg University, Denmark (Chairman)
Senior Principal Research Scientist Petros T. Boufounos, Mitsubishi Electric Research laboratories, USA
Professor Lars Kai Hansen, Technical University of Denmark
Professor Torben Larsen, Aalborg University, Denmark
Associate Professor Thomas Arildsen, Aalborg University, Denmark
Associate Professor Lars Bo Larsen, Aalborg University, Denmark
After the defence there will be a reception at Fredrik Bajers Vej 7, B4-211
Free of charge
Signal and Information Processing, Department of Electronic Systems
Aalborg University, Fredrik Bajers Vej 7B 3-104
12.12.2017 at 00.30 PM - 12.12.2017 at 04.00 PM
13.12.2017 at 00.30 PM - 13.12.2017 at 04.00 PM
18.12.2017 at 01.00 PM - 18.12.2017 at 04.00 PM
19.12.2017 at 01.00 PM - 19.12.2017 at 04.00 PM