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Proceedings Paper

Improved genetic algorithm for optimization of binary phase holograms
Author(s): The-Anh Nguyen; Jun-Won An; Jae-Kwang Choi; Nam Kim
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Paper Abstract

In order to reduce the computation time, a new approach for designing computer-generated holograms is proposed. In this new method, we utilize artificial neural network to initiate the genetic algorithm so that the high computation cost of genetic algorithm for synthesizing holograms is significantly reduced while the high diffraction efficiency and uniformity are still ensured. Designed binary phase holograms have the diffraction efficiency of 75.8% and uniformity of 5.8%, which are proven in computer simulation and experimentally demonstrated.

Paper Details

Date Published: 25 June 2004
PDF: 9 pages
Proc. SPIE 5363, Emerging Optoelectronic Applications, (25 June 2004); doi: 10.1117/12.528784
Show Author Affiliations
The-Anh Nguyen, Chungbuk National Univ. (South Korea)
Jun-Won An, Chungbuk National Univ. (South Korea)
Jae-Kwang Choi, Chungbuk National Univ. (South Korea)
Nam Kim, Chungbuk National Univ. (South Korea)


Published in SPIE Proceedings Vol. 5363:
Emerging Optoelectronic Applications
Ghassan E. Jabbour; Juha T. Rantala, Editor(s)

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