1 September 2011 Optimization scheme for synthesizing kinoform with genetic algorithm
Ruifeng Zheng, Guanglin Yang, Haiyan Xie
Author Affiliations +
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.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Ruifeng Zheng, Guanglin Yang, and Haiyan Xie "Optimization scheme for synthesizing kinoform with genetic algorithm," Optical Engineering 50(9), 097004 (1 September 2011). https://doi.org/10.1117/1.3621516
Published: 1 September 2011
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Computer generated holography

Optimization (mathematics)

Genetic algorithms

Quantization

Reconstruction algorithms

Fourier transforms

Optical engineering

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