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Denoising Shack Hartmann sensor spot pattern using zernike reconstructor

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dc.contributor.author Vyas, A
dc.contributor.author Roopashree, M. B
dc.contributor.author Prasad, B. R
dc.date.accessioned 2009-09-11T14:08:28Z
dc.date.available 2009-09-11T14:08:28Z
dc.date.issued 2009
dc.identifier.citation Ganapathy, Gopinath., eds., Proceedings of the international Conference on Advanced Computing ICCA 2009, Tiruchirappalli India, 6 – 8 August, 2009, pp. 303 – 308 en
dc.identifier.isbn 978-0230-63915-7
dc.identifier.uri http://hdl.handle.net/2248/4813
dc.description.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. en
dc.language.iso en en
dc.publisher Macmillan Publishers India Ltd. en
dc.relation.ispartofseries Macmillan Advanced Research Series;
dc.relation.uri http://arxiv.org/abs/0909.0701v1
dc.rights © Macmillan Publishers India Ltd. en
dc.subject Shack Hartmann Sensor en
dc.subject Background Noise en
dc.subject Zemike Reconstructor en
dc.title Denoising Shack Hartmann sensor spot pattern using zernike reconstructor en
dc.type Article en

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