Wavefront reconstruction with artificial neural networks
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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