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    Adaptive weighted Gerchberg-Saxton algorithm for generation of phase-only hologram with artifacts suppression

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    oe-29-2-1412.pdf
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    Type
    Article
    Authors
    Wu, Yang
    Wang, Jun cc
    Chen, Chun
    Liu, Chan-Juan
    Jin, Feng-Ming
    Chen, Ni cc
    KAUST Department
    Visual Computing Center, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia.
    Date
    2021-01-08
    Submitted Date
    2020-11-04
    Permanent link to this record
    http://hdl.handle.net/10754/666872
    
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    Abstract
    In the conventional weighted Gerchberg-Saxton (GS) algorithm, the feedback is used to accelerate the convergence. However, it will lead to the iteration divergence. To solve this issue, an adaptive weighted GS algorithm is proposed in this paper. By replacing the conventional feedback with our designed feedback, the convergence can be ensured in the proposed method. Compared with the traditional GS iteration method, the proposed method improves the peak signal-noise ratio of the reconstructed image with 4.8 dB on average. Moreover, an approximate quadratic phase is proposed to suppress the artifacts in optical reconstruction. Therefore, a high-quality image can be reconstructed without the artifacts in our designed Argument Reality device. Both numerical simulations and optical experiments have validated the effectiveness of the proposed method.
    Citation
    Wu, Y., Wang, J., Chen, C., Liu, C.-J., Jin, F.-M., & Chen, N. (2021). Adaptive weighted Gerchberg-Saxton algorithm for generation of phase-only hologram with artifacts suppression. Optics Express, 29(2), 1412. doi:10.1364/oe.413723
    Sponsors
    The authors wish to thank the anonymous reviewers for their valuable suggestions.
    National Natural Science Foundation of China (U1933132); Chengdu Science and Technology Program (2019-GH02-00070-HZ).
    Publisher
    The Optical Society
    Journal
    Optics Express
    DOI
    10.1364/oe.413723
    Additional Links
    https://www.osapublishing.org/abstract.cfm?URI=oe-29-2-1412
    ae974a485f413a2113503eed53cd6c53
    10.1364/oe.413723
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