Treffer: Centroid estimation by model-fitting from undersampled wavefront sensing images
CRAL-Observatoire de Lyon, 9 av. Charles André, 69561 Saint Genis Laval, France
CC BY 4.0
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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.