Denoising Shack Hartmann Sensor spot pattern using Zernike Reconstructor

Astronomy and Astrophysics – Astrophysics – Instrumentation and Methods for Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

9 figures, Proceedings of the International Conference on Advanced Computing, Cauvery College for Women & Bharathidasan Univer

Scientific paper

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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Denoising Shack Hartmann Sensor spot pattern using Zernike Reconstructor does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Denoising Shack Hartmann Sensor spot pattern using Zernike Reconstructor, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Denoising Shack Hartmann Sensor spot pattern using Zernike Reconstructor will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-664118

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.