• Photonics Research
  • Vol. 10, Issue 10, 2349 (2022)
Daniele Ancora1、*, Lorenzo Dominici2, Antonio Gianfrate2, Paolo Cazzato2, Milena De Giorgi2, Dario Ballarini2, Daniele Sanvitto2, and Luca Leuzzi1、3
Author Affiliations
  • 1Department of Physics, Università di Roma la Sapienza, Piazzale Aldo Moro 5, I-00185 Rome, Italy
  • 2Institute of Nanotechnology, Consiglio Nazionale delle Ricerche (CNR-NANOTEC), Via Monteroni, I-73100 Lecce, Italy
  • 3Institute of Nanotechnology, Soft and Living Matter Laboratory, Consiglio Nazionale delle Ricerche (CNR-NANOTEC), Piazzale Aldo Moro 5, I-00185 Rome, Italy
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    DOI: 10.1364/PRJ.462578 Cite this Article Set citation alerts
    Daniele Ancora, Lorenzo Dominici, Antonio Gianfrate, Paolo Cazzato, Milena De Giorgi, Dario Ballarini, Daniele Sanvitto, Luca Leuzzi. Speckle spatial correlations aiding optical transmission matrix retrieval: the smoothed Gerchberg–Saxton single-iteration algorithm[J]. Photonics Research, 2022, 10(10): 2349 Copy Citation Text show less

    Abstract

    The estimation of the transmission matrix of a disordered medium is a challenging problem in disordered photonics. Usually, its reconstruction relies on a complex inversion that aims at connecting a fully controlled input to the deterministic interference of the light field scrambled by the device. At the moment, iterative phase retrieval protocols provide the fastest reconstructing frameworks, converging in a few tens of iterations. Exploiting the knowledge of speckle correlations, we construct a new phase retrieval algorithm that reduces the computational cost to a single iteration. Besides being faster, our method is practical because it accepts fewer measurements than state-of-the-art protocols. Thanks to reducing computation time by one order of magnitude, our result can be a step forward toward real-time optical imaging that exploits disordered devices.
    Y=PXT.

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    (Y)T=X(P)T,

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    NRMSE=1max|p(x,y)p(x,y)|2x,y|p(x,y)|2x,y|p(x,y)|2.

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    f*g=x,yf(x,y)g(ix,jy).(C1)

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    fg=x,yf(x,y)g(i+x,j+y).(C2)

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    Y˜i=(PXiT)K=P(XiTK).(E1)

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    Daniele Ancora, Lorenzo Dominici, Antonio Gianfrate, Paolo Cazzato, Milena De Giorgi, Dario Ballarini, Daniele Sanvitto, Luca Leuzzi. Speckle spatial correlations aiding optical transmission matrix retrieval: the smoothed Gerchberg–Saxton single-iteration algorithm[J]. Photonics Research, 2022, 10(10): 2349
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