Convex approximation to the likelihood criterion for aperture synthesis imaging
JOSA A, Vol. 22, Issue 11, pp. 2348-2356 (2005)
http://dx.doi.org/10.1364/JOSAA.22.002348
Acrobat PDF (309 KB)
Abstract
Aperture synthesis allows one to measure visibilities at very high resolutions by coupling telescopes of reasonable diameters. We consider the case where visibility amplitudes and phase are measured separately. It leads to an estimation problem where the noise model yields a nonconvex data-likelihood criterion. We show how to optimally approximate the noise model while keeping the criterion convex. This approximation has been validated both on simulations and on experimental data.
© 2005 Optical Society of America
OCIS Codes
(100.3020) Image processing : Image reconstruction-restoration
(100.3190) Image processing : Inverse problems
(110.6770) Imaging systems : Telescopes
(120.3180) Instrumentation, measurement, and metrology : Interferometry
ToC Category:
Image Processing
Citation
Serge Meimon, Laurent M. Mugnier, and Guy Le Besnerais, "Convex approximation to the likelihood criterion for aperture synthesis imaging," J. Opt. Soc. Am. A 22, 2348-2356 (2005)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-22-11-2348
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
Related Journal Articles 
- Myopic deconvolution of adaptive optics images by use of object and point-spread function power spectra (AO)
- Myopic Deconvolution of Adaptive Optics Images by Use of Object and Point-Spread Function Power Spectra: Reply to Comment (AO)
- Myopic deconvolution from wave-front sensing (JOSAA)
- Marginal estimation of aberrations and image restoration by use of phase diversity (JOSAA)
- Reconstruction method for weak-phase optical interferometry (OL)
Related Conference Papers
- An Adaptive Diffusion Regularization Method of Inverse Problem for Diffuse Optical Tomography
- Phase Diversity with Broadband Illumination
- Digital imaging using a high-resolution interferometric wavefront sensor
- Joint Estimation of Stokes Images and Aberrations from Phase-Diverse Polarimetric Measurements
- Bounds on Condition Numbers of Spatially Variant Convolution Matrices
« Previous Article | Next Article »
OSA is a member of 