Treffer: Centroid estimation by model-fitting from undersampled wavefront sensing images

Title:
Centroid estimation by model-fitting from undersampled wavefront sensing images
Source:
Optics communications. 201(1-3):11-20
Publisher Information:
Amsterdam: Elsevier Science, 2002.
Publication Year:
2002
Physical Description:
print, 11 ref
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical and Electronic Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
CRAL-Observatoire de Lyon, 9 av. Charles André, 69561 Saint Genis Laval, France
ISSN:
0030-4018
Rights:
Copyright 2002 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Physics: optics
Accession Number:
edscal.13426389
Database:
PASCAL Archive

Weitere Informationen

Wavefront sensing using a Shack-Hartmann sensor is a common method for estimating atmospheric phase distortion. A key step in processing the wavefront sensing data is to centroid the spots captured by a detector array. These centroids are used to estimate the local slopes which are then combined to give the overall wavefront reconstruction. The location of the centroid is however sensitive to the pixelisation of the detector array, especially in the presence of noise and when the measurements are aliased. We investigate how modelling can be employed to estimate the mean spot as well as the centroids. This approach is shown to be particularly advantageous when the object is extended. Both simulated and real data are used to verify the proposed method.