Global optimization for image restoration in optical/IR interferometry

Matthew Ozon; Éric Thiébaut; Ferréol Soulez; Jonathan Léger

doi:10.1117/12.2233312

4 August 2016 Global optimization for image restoration in optical/IR interferometry

Matthew Ozon, Éric Thiébaut, Ferréol Soulez, Jonathan Léger

Proceedings Volume 9907, Optical and Infrared Interferometry and Imaging V; 99071E (2016) https://doi.org/10.1117/12.2233312
Event: SPIE Astronomical Telescopes + Instrumentation, 2016, Edinburgh, United Kingdom

Abstract

Many image reconstruction algorithms have been proposed to cope with optical/IR interferometric data. A first difficulty is to deal with the sparsity of the data and the uneven u-v coverage. This is usually overcome by imposing a priori constraints to the sought image. The reconstruction then amounts to solving an optimization problem where fidelity to the data and to the priors must both be satisfied to a chosen level. Due to the type of interferometric measurements, the image restored by the current algorithms depends on some initial guess and on the optimization strategy. Even though the resulting image is often satisfactory, there are no guarantees that the best image is obtained given the data and the constraints. This is a strong defect which may badly impact the interpretation of interferometric observations by astronomers. In this paper, we consider using stochastic methods such as simulated annealing to solve for the problem of image reconstruction with sparse Fourier amplitudes and unknown Fourier phases. This preliminary study is a first step toward image reconstruction with partial Fourier phase information.

Citation Download Citation

Matthew Ozon, Éric Thiébaut, Ferréol Soulez, and Jonathan Léger "Global optimization for image restoration in optical/IR interferometry", Proc. SPIE 9907, Optical and Infrared Interferometry and Imaging V, 99071E (4 August 2016); https://doi.org/10.1117/12.2233312

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available