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Wave-front estimation from wave-front slope measurements
Abstract
The problem of wave-front estimation from wave-front slope measurements has been examined from a least-squares curve fitting model point of view. It is shown that the slope measurement sampling geometry influences the model selection for the phase estimation. Successive over-relaxation (SOR) is employed to numerically solve the exact zonal phase estimation problem. A new zonal phase gradient model is introduced and its error propagator, which relates the mean-square wave-front error to the noisy slope measurements, has been compared with two previously used models. A technique for the rapid extraction of phase aperture functions is presented. Error propagation properties for modal estimation are evaluated and compared with zonal estimation results.
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Cited by
Supernormal vision and high-resolution retinal imaging through adaptive optics
Liang, J., Williams, D. R., & Miller, D. T. (1997) · Journal of the Optical Society of America A · doi:10.1364/josaa.14.002884 · Cited by 1,454
Correction of presbyopia: old problems with old (and new) solutions
Kollbaum, P. S., & Bradley, A. (2020) · Clinical and Experimental Optometry · doi:10.1111/cxo.12987 · Cited by 45
Metadata
- Authors
- Southwell, W. H.
- Venue
- Journal of the Optical Society of America
- Publisher
- Optica Publishing Group
- Published
- 1980-08-01
- Volume
- 70
- Issue
- 8
- Pages
- 998
- ISSN
- 0030-3941 (ISSN-L)
- OpenAlex
- W2003292041
- Cited by
- 985
- References
- 0
- FWCI
- 0.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Wave-front estimation from wave-front slope measurements. https://app.cochat.ai/papers/10.1364/josa.70.000998
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- Southwell, W. H. (1980). Wave-front estimation from wave-front slope measurements. Journal of the Optical Society of America. https://doi.org/10.1364/josa.70.000998
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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