Pixel crosstalk for phase retrieval based on deep learning

Xiaoqing Zheng; Jianying Hao; Rongquan Fan; Yongkun Lin; Ruixian Chen; Linlin Fan; Jie Zheng; Rupeng Yang; Dakui Lin; Kun Wang; Xiao Lin; Xiaodi Tan

doi:10.1117/12.3008321

20 September 2023 Pixel crosstalk for phase retrieval based on deep learning

Xiaoqing Zheng, Jianying Hao, Rongquan Fan, Yongkun Lin, Ruixian Chen, Linlin Fan, Jie Zheng, Rupeng Yang, Dakui Lin, Kun Wang, Xiao Lin, Xiaodi Tan

Author Affiliations +

Proceedings Volume 12606, Optical Manipulation and Structured Materials Conference; 1260607 (2023) https://doi.org/10.1117/12.3008321
Event: Optics and Photonics International Congress, 2023, Yokohama, Japan

Abstract

In the holographic data storage system, we can use deep learning method to learn the relationship between phase patterns and their near-field diffraction intensity images. In the practice, pixel crosstalk always exists. We found the pixel crosstalk between adjacent variable phase pixels was benefit for quick and accurate phase retrieval based on deep learning. We validated our idea by the simulation of adding phase disturbance between pixels on the spatial light modulator.

Citation Download Citation

Xiaoqing Zheng, Jianying Hao, Rongquan Fan, Yongkun Lin, Ruixian Chen, Linlin Fan, Jie Zheng, Rupeng Yang, Dakui Lin, Kun Wang, Xiao Lin, and Xiaodi Tan "Pixel crosstalk for phase retrieval based on deep learning", Proc. SPIE 12606, Optical Manipulation and Structured Materials Conference, 1260607 (20 September 2023); https://doi.org/10.1117/12.3008321

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