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Techniques to Improve Computation of Zernike Polynomials
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Zernike polynomials are widely used in adaptive optics (AO) and aberration studies including in vision optics. Estimation of wavefront usually involves computing the Zernike moments [1] and the results maybe used in, deformable mirrors for AO applications, scaled to different pupil sizes in case of VO, etc. Typical challenges in using Zernike polynomials include (a) the speed of computing the Zernike moments can be limiting for realtime applications, (b) the computation of higher-order Zernike polynomials can be slow, and precision limited. This paper presents some solutions to these problems in the form of classic computer science techniques of dynamic programming[5] and insight into computing higher order fields involving Zernike polynomials.
Title: Techniques to Improve Computation of Zernike Polynomials
Description:
Zernike polynomials are widely used in adaptive optics (AO) and aberration studies including in vision optics.
Estimation of wavefront usually involves computing the Zernike moments [1] and the results maybe used in, deformable mirrors for AO applications, scaled to different pupil sizes in case of VO, etc.
Typical challenges in using Zernike polynomials include (a) the speed of computing the Zernike moments can be limiting for realtime applications, (b) the computation of higher-order Zernike polynomials can be slow, and precision limited.
This paper presents some solutions to these problems in the form of classic computer science techniques of dynamic programming[5] and insight into computing higher order fields involving Zernike polynomials.
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