5 citations · 7 across the 4 of their papers we have counts for
6 papers
Regularization with optimal space-time priors
Tatiana A. Bubba, Tommi Heikkilä, Demetrio Labate +1
We propose a variational regularization approach based on a multiscale representation called cylindrical shearlets aimed at dynamic imaging problems, especially dynamic tomography.…
On a fixed-point continuation method for a convex optimization problem
Jean-Baptiste Fest, Tommi Heikkilä, Ignace Loris +4
We consider a variation of the classical proximal-gradient algorithm for the iterative minimization of a cost function consisting of a sum of two terms, one smooth and the other pr…
Efficient representation of spatio-temporal data using cylindrical shearlets
Tatiana A. Bubba, Glenn Easley, Tommi Heikkilä +2
Efficient representations of multivariate functions are critical for the design of state-of-the-art methods of data restoration and image reconstruction. In this work, we consider…
4D Dual-Tree Complex Wavelets for Time-Dependent Data
Tatiana A. Bubba, Tommi Heikkilä, Samuli Siltanen
The dual-tree complex wavelet transform (DT-WT) is extended to the 4D setting. Key properties of 4D DT-WT, such as directional sensitivity and shift-invaria…
Gel phantom data for dynamic X-ray tomography
Tommi Heikkilä, Hanna Help, Alexander Meaney
This is the documentation for dynamic X-ray tomography measurements of a gel phantom diffused with potassium iodide contrast agent. The measured data and additional materials are a…
Sparse dynamic tomography. A shearlet-based approach for iodine perfusion in plant stems
Tatiana A. Bubba, Tommi Heikkilä, Hanna Help +3
In this paper we propose a motion-aware variational approach to reconstruct moving objects from sparse dynamic data. The motivation of this work stems from X-ray imaging of plants…