Publication

Interbands Phase Models for Polychromatic Image Reconstruction in Optical Interferometry

Alessio Ferrari, Ferréol Arnaud Marie Soulez
2016
Conference Papers

Abstract

This paper presents an extension of the spatio-spectral ("3D") image reconstruction algorithm called PAINTER (Polychromatic opticAl INTErferometric Reconstruction software). The algorithm is able to solve large scale problems and relies on an iterative process, which alternates estimation of polychromatic images and of complex visibilities. The complex visibilities are not only estimated from squared moduli and closure phases, but also from differential phases, which helps to constrain the polychromatic reconstruction. Alternative methods to construct the specific differential phases used in PAINTER are proposed. Simulations on synthetic data illustrate the specificities of the proposed methods.

Official source

https://infoscience.epfl.ch/entities/publication/c93bcbf9-18c7-4d97-ac67-68c1614480fe

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Alessio Ferrari, Ferréol Arnaud Marie Soulez
2016
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/c93bcbf9-18c7-4d97-ac67-68c1614480fe

About this result

Related concepts (32)

Phase-contrast X-ray imaging

Phase-contrast X-ray imaging or phase-sensitive X-ray imaging is a general term for different technical methods that use information concerning changes in the phase of an X-ray beam that passes through an object in order to create its images. Standard X-ray imaging techniques like radiography or computed tomography (CT) rely on a decrease of the X-ray beam's intensity (attenuation) when traversing the sample, which can be measured directly with the assistance of an X-ray detector.

Iterative method

In computational mathematics, an iterative method is a mathematical procedure that uses an initial value to generate a sequence of improving approximate solutions for a class of problems, in which the n-th approximation is derived from the previous ones. A specific implementation with termination criteria for a given iterative method like gradient descent, hill climbing, Newton's method, or quasi-Newton methods like BFGS, is an algorithm of the iterative method.

Phase-contrast imaging

Phase-contrast imaging is a method of that has a range of different applications. It measures differences in the refractive index of different materials to differentiate between structures under analysis. In conventional light microscopy, phase contrast can be employed to distinguish between structures of similar transparency, and to examine crystals on the basis of their double refraction. This has uses in biological, medical and geological science.

Related publications (32)

Interbands Phase Models for Polychromatic Image Reconstruction in Optical Interferometry

Chat with Graph Search

From low-rank retractions to dynamical low-rank approximation and back

A multigrid method for PDE-constrained optimization with uncertain inputs

Reach For the Arcs: Reconstructing Surfaces from SDFs via Tangent Points