Abstract
Image recovery in optical interferometry is an ill-posed nonlinear inverse problem arising from incomplete power spectrum and bispectrum measurements. We review our previous work, which reformulates this nonlinear problem in the framework of tensor recovery and studies two different approaches to solve it: one is nonlinear and nonconvex while the other is linear and convex. We extend the linear convex procedure to account for signal sparsity and we also present numerical simulations that show the improvement in the quality of reconstruction of sparse images when including a sparsity prior.
Original language | English |
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Title of host publication | 2014 IEEE International Conference on Image Processing, ICIP 2014 |
Publisher | IEEE |
Pages | 6026-6030 |
Number of pages | 5 |
ISBN (Print) | 978-1-4799-5751-4 |
DOIs | |
Publication status | Published - 2015 |
Event | 21st IEEE International Conference on Image Processing 2014 - Paris, France Duration: 27 Oct 2014 → 30 Oct 2014 |
Conference
Conference | 21st IEEE International Conference on Image Processing 2014 |
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Abbreviated title | ICIP 2014 |
Country/Territory | France |
City | Paris |
Period | 27/10/14 → 30/10/14 |
Keywords
- interferometric imaging
- optical interferometry
- phase retrieval
- tensor optimization
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition