Enlarge the capacity of holographic data storage using deep learning

Xiaodi Tan; Xiao Lin; Jianying Hao; Haiyang Song; Yongkun Lin; Ruixian Chen; Hongjie Liu; Rupeng Yang; Jie Zheng; Xiaoqing Zheng; Rongquan Fan; Linlin Fan; Kun Wang; Dakui Lin; Yuhong Ren

doi:10.1117/12.2689659

4 October 2023 Enlarge the capacity of holographic data storage using deep learning

Xiaodi Tan, Xiao Lin, Jianying Hao, Haiyang Song, Yongkun Lin, Ruixian Chen, Hongjie Liu, Rupeng Yang, Jie Zheng, Xiaoqing Zheng, Rongquan Fan, Linlin Fan, Kun Wang, Dakui Lin, Yuhong Ren

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Proceedings Volume PC12746, SPIE-CLP Conference on Advanced Photonics 2023; PC127460C (2023) https://doi.org/10.1117/12.2689659
Event: SPIE-CLP Conference on Advanced Photonics, 2023, San Diego, California, United States

Abstract

Holographic data storage is a powerful potential technology to solve the problem of mass data long-term storage. To increase the storage capacity, the information to be stored is encoded into a complex amplitude. Fast and accurate retrieval of amplitude and phase from the reconstructed beam is necessary during data readout. In this talk, we propose a complex amplitude demodulation method based on deep learning from a single-shot diffraction intensity image and verified it by a non-interferometric lensless experiment demodulating four-level amplitude and four-level phase. By analyzing the correlation between the diffraction intensity features and the amplitude and phase encoding data pages, the inverse problem is decomposed into two backward operators denoted by two convolutional neural networks to demodulate amplitude and phase respectively. The stable and simple complex amplitude demodulation and strong anti-noise performance from the deep learning provide an important guarantee for the practicality of holographic data storage.

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Xiaodi Tan, Xiao Lin, Jianying Hao, Haiyang Song, Yongkun Lin, Ruixian Chen, Hongjie Liu, Rupeng Yang, Jie Zheng, Xiaoqing Zheng, Rongquan Fan, Linlin Fan, Kun Wang, Dakui Lin, and Yuhong Ren "Enlarge the capacity of holographic data storage using deep learning", Proc. SPIE PC12746, SPIE-CLP Conference on Advanced Photonics 2023, PC127460C (4 October 2023); https://doi.org/10.1117/12.2689659

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