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Modal-based nonlinear optimization algorithm for wavefront measurement with under-sampled data
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DOI：10.1364/OL.403459.png)
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Abstract
En 中文
The aliasing effect in the discrete Fourier transform inherent will impose a serious detrimental effect on conventional phase retrieval measurement accuracy with under-sampled intensity. In this Letter, we describe a modal-based nonlinear optimization phase retrieval approach that is capable of retrieving wavefront measurements using under-sampled intensities. The extended Nijboer-Zernike theory is introduced to establish an analytic solution between wavefront phase and intensity image, and then nonlinear optimization is further utilized to solve wavefront aberration coefficients from under-sampled intensity data. The feasibility and accuracy of the algorithm are verified by simulations and experiments. This is a promising method that is especially suitable for full field phase recovery of optical systems with a relatively high numerical aperture. (C) 2020 Optical Society of America
Keywords:
PHASE-RETRIEVAL ALGORITHMS
NIJBOER-ZERNIKE APPROACH
ABERRATION RETRIEVAL
COMPUTATION
DIVERSITY
Journal
IF:
3.3
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4.0W
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7.6W