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Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings

Research Article

Kinoform Generated Combined with the Error Diffusion Method and the Dynamic Random Phase

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  • @INPROCEEDINGS{10.1007/978-3-030-66785-6_31,
        author={Xuemei Cao and Mingxiang Guan and Linzhong Xia and Jinping Fan and Jian Wang},
        title={Kinoform Generated Combined with the Error Diffusion Method and the Dynamic Random Phase},
        proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings},
        proceedings_a={MLICOM},
        year={2021},
        month={1},
        keywords={Kinoform Error diffusion Dynamic random phase},
        doi={10.1007/978-3-030-66785-6_31}
    }
    
  • Xuemei Cao
    Mingxiang Guan
    Linzhong Xia
    Jinping Fan
    Jian Wang
    Year: 2021
    Kinoform Generated Combined with the Error Diffusion Method and the Dynamic Random Phase
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-66785-6_31
Xuemei Cao1,*, Mingxiang Guan1, Linzhong Xia1, Jinping Fan1, Jian Wang1
  • 1: Shenzhen Institute of Information Technology
*Contact email: xuemei_cao88@163.com

Abstract

A computer generated kinoform combined with error diffusion and the dynamic random phase is presented. In order to compensate the error generated in the reconstructed image from the phase only hologram, the Floyd-Steinberg error diffusion technique is employed. The error can be diffused to the neighboring pixels in this method. And sequential kinoforms are generated by adding dynamic phase factor into the object domain to reduce the speckle noise. The results show that the kinoform can be achieved correctly and the representation quality of the reconstructed image can be improved compared with that obtained from the original kinoform.

Keywords
Kinoform Error diffusion Dynamic random phase
Published
2021-01-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-66785-6_31
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