Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Generalized formulation of stellar speckle interferometry

Open Access Open Access

Abstract

Joint spatial/spatial-frequency energy representations are proposed as a powerful framework, allowing a generalized formulation of stellar speckle interferometry and related imaging techniques. There are four basic functions in this scheme, which are related to each other by Fourier transforms, and all of them being able to keep both high frequency information and phase after averging: The Product Function Pi (x,δx) = i*(x– δx/2) i(x+δx/2) of the image i(x); the Wigner distribution is Wi (x,u) = FT [Pi(x,δx)δx - > u; the Spectral Product Ki(u,δu) = I*(u -δu/2) I(u + δu/2) = FT [Wi(x,u)]x- > δu and the Ambiguity function Ai (δx,δu) = FT [Ki(u, δu)]u- > δx. Within this framework, most speckle imaging techniques appear to be particular implementations of a generalized method. For instance, the Knox-Thompson method consists of taking the average (u,u) of the short exposure frames i(x), for small values of u. However, in this joint formulation it seems to be more natural and direct to take the average < Pi(x,δx) > avoiding the computation of typically hundreds or even thousands Fourier transforms. Results of a realistic computer simulation of this particular implementation of stellar speckle interferometry are included showing good reconstructions.

© 1990 Optical Society of America

PDF Article
More Like This
Phase-Diverse Speckle Interferometry

Richard G. Paxman, Timothy J. Schulz, and James R. Fienup
TuA2 Signal Recovery and Synthesis (SRS) 1992

Photon-Limited Performance of Three Stellar Speckle Image Reconstruction Algorithms

G.J.M. Aitken, R. Johnson, and J. Meng
TuA3 Quantum-Limited Imaging and Image Processing (QLIP) 1989

FOCI: a generalization of intensity interferometry

Steven M. Ebstein and David Korff
MX8 OSA Annual Meeting (FIO) 1988

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.