We analyze an alternative to classical Zernike fitting based on the cubic B-spline
model, and compare the strengths and weaknesses of each representation over a set
of different wavefronts that cover a wide range of shape complexity. The results obtained
show that a Zernike low-degree polynomial expansion or a cubic B-spline with a low
number of breakpoints are the best choices for fitting simple wavefronts, whereas the cubic
B-spline approach performs much better when more complex wavefronts are involved.
The effect of noise level in the fit quality for the different wavefronts is also studied.
© 2006 Optical Society of America
Equations on this page are rendered with MathJax. Learn more.