Acta Optica Sinica, Volume. 43, Issue 15, 1500004(2023)
Advances in Multi-Dimensional Modulated Holographic Data Storage
Fig. 1. Schematic diagram of holographic storage[21]
Fig. 2. Comparison between holographic storage and traditional storage methods[21]
Fig. 3. Schematic diagram of amplitude modulated collinear holographic storage system
Fig. 4. Amplitude coding[86]
Fig. 6. Schematic diagram of principle of compression-aware denoising[98]
Fig. 7. Dictionary training and learning noise reduction method[98]. (a) Dictionary training process; (b) noisy data page decoding process
Fig. 8. Advantages of phase modulation[21]
Fig. 9. Phase coding of code pair[106]
Fig. 10. Description of decoding process[106]
Fig. 11. Experimental results of decoding using code pair method[106]. (a) Decoding without code pair; (b) decoding BER without code pair; (c) decoding with code pair; (d) decoding BER with code pair
Fig. 12. Iterative Fourier transform phase reconstruction based on embedded data[116]
Fig. 13. Flow chart of iterative Fourier transform algorithm based on embedded data
Fig. 14. Relationship between embedded data proportion and iteration numbers[86]
Fig. 15. Coding design and experimental results of phase reconstruction algorithm for image restoration[116]
Fig. 16. Optimization scheme of collinear system based on embedded data
Fig. 17. Gray histograms of phase retrieval under different intensity ratios of reference light[118]
Fig. 18. Experimental results of phase retrieval under different intensity ratios of reference light
Fig. 19. Optical path diagram of frequency spectrum extension[119]
Fig. 20. Idea of frequency spectrum extension[119]. (a) Unknown phase pattern; (b) known window; (c) frequency spectrum intensity of unknown phase pattern; (d) frequency spectrum intensity of known window
Fig. 21. Process of frequency spectrum extension[119]. (a) Fourier intensity with Nyquist size captured by CCD (box denotes Nyquist size); (b) Fourier intensity of rectangular window with Nyquist size; (c) normalized Fourier frequency spectrum; (d) normalized spectrum extension to 5 times Nyquist interval; (e) intensity envelope with a known 5 times Nyquist interval; (f) new spectrum after intensity product
Fig. 22. Comparison of phase retrieval results without and with frequency spectrum extension[119]
Fig. 23. Experimental setup of phase retrieval based on deep learning[124]
Fig. 24. Training process of convolution neural network
Fig. 25. Experimental results after training[124]
Fig. 26. Optical path of four-channel polarization multiplexed holographic recording[129]
Fig. 27. Experimental results of four-channel polarization multiplexing holographic recording[129]. (a)-(d) Imaging maps of image directly on CMOS camera as original signal before holographic recording; (e)-(h) images of holographic reconstruction with different polarization reading lights after holographic recording
Fig. 28. Preparation flow chart of PQ/PMMA materials
Fig. 29. Schematic diagram of structure of chemical composition[143]
Fig. 30. Ultraviolet absorption spectra of photopolymer materials[143]
Fig. 31. Design structure of holographic disc[145]
Fig. 32. Different loading processes of optical disc materials. (a) Filling method; (b) spin-coating method; (c) paste method
Fig. 33. First holographic disc independently developed in China
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Xiaodi Tan, Xiao Lin, Jinliang Zang, Fenglan Fan, Jinpeng Liu, Yuhong Ren, Jianying Hao. Advances in Multi-Dimensional Modulated Holographic Data Storage[J]. Acta Optica Sinica, 2023, 43(15): 1500004
Category: Reviews
Received: Mar. 29, 2023
Accepted: May. 12, 2023
Published Online: Jul. 28, 2023
The Author Email: Hao Jianying (haojianying123@163.com)