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