Sara Soltani

Sara Soltani

PhD student

Matematiktorvet, Building 303B, Room 010

2800 Kgs. Lyngby

Denmark

Phone: 45253020

 

PhD Project: Training Sets in Large-Scale Reconstruction Methods

 

The project is affiliated with the project High-Definition Tomography (HD-Tomo) financed by the European Research Council.

Project Description

This PhD project aims at providing a theoretical and methodological framework for the use of training sets as non-parametric priors for the solutions in tomographic image reconstruction. In particular we will study and further develop the use of artificially generated training images for incorporation of structural information about the solution. 

Training images are conceptual images that contain a set of desired visual features, and we use dictionary learning to construct a dictionary from these images. Using the dictionary as prior information, we solve a Lasso least-squares problem that yields a reconstruction that has a sparse representation with respect to the dictionary.

View graph of relations
Download as:
Download as PDF
Select render style:
ShortLong
PDF
Download as HTML
Select render style:
ShortLong
HTML
Download as Word
Select render style:
ShortLong
Word
Download as: To download, please limit the number of search results to 1,000 or less.

Place of employment

ID: 10137764