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Optical Engineering

Optimization scheme for synthesizing kinoform with genetic algorithm
Author(s): Ruifeng Zheng; Guanglin Yang; Haiyan Xie
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Paper Abstract

An optimization scheme based on a genetic algorithm (GA) is proposed for kinoform synthesis. Unlike conventional optimization schemes, the initial kinoforms here are obtained by Fourier transform of the original image with random phase masks. The phase masks are then optimized by GA in order to reduce the reconstruction noise caused by amplitude negligence and phase quantization. Compared with the conventional methods of the genetic algorithm, in which optimization is directly performed to the kinoforms, the scheme can significantly improve the convergence and reduce the computation cost.

Paper Details

Date Published: 1 September 2011
PDF: 5 pages
Opt. Eng. 50(9) 097004 doi: 10.1117/1.3621516
Published in: Optical Engineering Volume 50, Issue 9
Show Author Affiliations
Ruifeng Zheng, Peking Univ. (China)
Guanglin Yang, Peking Univ. (China)
Haiyan Xie, China Science Patent Trademark Agents Ltd. (China)

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