Abstract

A Shack-Hartmann wavefront sensor processes images formed by an array of lenses to determine the local gradient of the wavefront using simple centroiding algorithms. We compare these with a method using the first Fourier coefficient of the image, and show how this can achieve extreme rates when implemented on an FPGA. On-sky results from a small adaptive optics system are given using this method.

© 2015 Optical Society of America

Real-time Depth-resolved Shack-Hartmann Measurements

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88020B European Conference on Biomedical Optics (ECBO) 2013

FPGA Implementations of Low Latency Centroiding Algorithms for Adaptive Optics

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Iterative Fourier Domain Offset Estimation Algorithm for Shack-Hartmann Wave-front Sensors

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