Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/4813
Title: Denoising Shack Hartmann sensor spot pattern using zernike reconstructor
Authors: Vyas, A
Roopashree, M. B
Prasad, B. R
Keywords: Shack Hartmann Sensor;Background Noise;Zemike Reconstructor
Issue Date: 2009
Publisher: Macmillan Publishers India Ltd.
Citation: Ganapathy, Gopinath., eds., Proceedings of the international Conference on Advanced Computing ICCA 2009, Tiruchirappalli India, 6 – 8 August, 2009, pp. 303 – 308
Series/Report no.: Macmillan Advanced Research Series;
Abstract: Shack Hartmann Sensor (SHS) is inflicted with significant background noise that deteriorates the wave-front reconstruction accuracy. In this paper, a simple method to remove the back ground noise with the use of Zernike polynomials is suggested. The images corresponding to individual array points of the SHS at the detector, placed at the focal plane are independently reconstructed using Zernike polynomials by the calculation of Zernike moments. Appropriate thresholding is applied on the images. It is shown with computational experiments that using Zernike Reconstructor along with usual thresholding improves the centroiding accuracy when compared to direct thresholding. A study was performed at different Signal to Noise ratio by changing the number of Zernike orders used for reconstruction. The analysis helps us in setting upper and lower bounds in the application of this denoising procedure.
URI: http://hdl.handle.net/2248/4813
ISBN: 978-0230-63915-7
???metadata.dc.rights???: © Macmillan Publishers India Ltd.
???metadata.dc.relation.uri???: http://arxiv.org/abs/0909.0701v1
Appears in Collections:IIAP Publications

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