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Shack Hartmann Sensor (SHS) is inflicted with significant background noisethat deteriorates the wave-front reconstruction accuracy. In this paper, asimple method to remove the back ground noise with the use of Zernikepolynomials is suggested. The images corresponding to individual array pointsof the SHS at the detector, placed at the focal plane are independentlyreconstructed using Zernike polynomials by the calculation of Zernike moments.Appropriate thresholding is applied on the images. It is shown withcomputational experiments that using Zernike Reconstructor along with usualthresholding improves the centroiding accuracy when compared to directthresholding. A study was performed at different Signal to Noise ratio bychanging the number of Zernike orders used for reconstruction. The analysishelps us in setting upper and lower bounds in the application of this denoisingprocedure.

Denoising Shack Hartmann Sensor spot pattern using Zernike Reconstructor