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Optics Express

Optics Express

  • Editor: Michael Duncan
  • Vol. 14, Iss. 14 — Jul. 10, 2006
  • pp: 6456–6462

Wavefront reconstruction with artificial neural networks

Hong Guo, Nina Korablinova, Qiushi Ren, and Josef Bille  »View Author Affiliations


Optics Express, Vol. 14, Issue 14, pp. 6456-6462 (2006)
http://dx.doi.org/10.1364/OE.14.006456


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Abstract

In this work, a new approach, a method using artificial neural networks was applied to reconstruct the wavefront. First, the optimal structure of neural networks was found. Then, the networks were trained on both noise-free and noisy spot patterns. The results of the wavefront reconstruction with artificial neural networks were compared to those obtained through the least square fit and singular value decomposition method.

© 2006 Optical Society of America

OCIS Codes
(010.7350) Atmospheric and oceanic optics : Wave-front sensing
(120.5050) Instrumentation, measurement, and metrology : Phase measurement
(170.4470) Medical optics and biotechnology : Ophthalmology

ToC Category:
Instrumentation, Measurement, and Metrology

History
Original Manuscript: April 5, 2006
Revised Manuscript: June 15, 2006
Manuscript Accepted: June 16, 2006
Published: July 10, 2006

Virtual Issues
Vol. 1, Iss. 8 Virtual Journal for Biomedical Optics

Citation
Hong Guo, Nina Korablinova, Qiushi Ren, and Josef Bille, "Wavefront reconstruction with artificial neural networks," Opt. Express 14, 6456-6462 (2006)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-14-14-6456


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References

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