Single shot and speckle free reconstruction of orthogonal polarization modes with a tuneable beam displacer

Manisha, None; Rathor, Mohit; Singh, Rakesh Kumar

doi:10.1088/2040-8986/ac9c17

Cited by 3 publications

(2 citation statements)

References 68 publications

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“…Once we have the recorded hologram, we digitally reconstruct it to obtain the quantitative amplitude and phase distribution. Quality of the reconstruction is influenced by the total number of incoherent random patterns 59 . Moreover, the object needs to be static during the recording of the random patterns.…”

Section: Experimental Recordingmentioning

confidence: 99%

Randomness assisted in-line holography with deep learning

Manisha

Mandal

Rathor

et al. 2023

Sci Rep

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We propose and demonstrate a holographic imaging scheme exploiting random illuminations for recording hologram and then applying numerical reconstruction and twin image removal. We use an in-line holographic geometry to record the hologram in terms of the second-order correlation and apply the numerical approach to reconstruct the recorded hologram. This strategy helps to reconstruct high-quality quantitative images in comparison to the conventional holography where the hologram is recorded in the intensity rather than the second-order intensity correlation. The twin image issue of the in-line holographic scheme is resolved by an unsupervised deep learning based method using an auto-encoder scheme. Proposed learning technique leverages the main characteristic of autoencoders to perform blind single-shot hologram reconstruction, and this does not require a dataset of samples with available ground truth for training and can reconstruct the hologram solely from the captured sample. Experimental results are presented for two objects, and a comparison of the reconstruction quality is given between the conventional inline holography and the one obtained with the proposed technique.

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Section: Experimental Recordingmentioning

confidence: 99%

Randomness assisted in-line holography with deep learning

Manisha

Mandal

Rathor

et al. 2023

Sci Rep

Self Cite

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“…Polarization, a fundamental feature of light, continues to attract attention for basic and applied research [1][2][3][4][5][6][7][8][9][10]. A freely propagating coherent monochromatic light field can be considered as a superposition of the plane waves with its electric field vector oriented in a transverse plane perpendicular to the propagation direction.…”

Section: Introductionmentioning

confidence: 99%

Poincare vector correlations to estimate polarization dynamics in the laser speckle

CHANDRA

Singh

2023

Phys. Scr.

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We propose and experimentally demonstrate a new method to measure the spatial polarization dynamics of laser speckle. This is realized by using the concept of the Poincare vector correlations and experimentally measured Stokes parameters. Two-point correlations of the Stokes parameters offer a new and stable experimental technique to determine the Poincare vector correlations and characterize the polarization fluctuations of the laser speckle. The use of two-point Stokes correlations in the evaluation of spatial polarization dynamics offers a new method and the performance of this technique is tested by evaluating the spatial polarization dynamics of three different cases of the laser speckles. Experimental results are also tested and compared with the simulations results and good agreement between simulation and experimental results confirm the accuracy and usefulness of our technique in the characterization of the polarization dynamics.

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Active mode single-pixel imaging through strong scattering media via least squares conditional generative adversarial networks under low sampling rates

Feng

Zhou

et al. 2023

J Opt

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Single shot and speckle free reconstruction of orthogonal polarization modes with a tuneable beam displacer

Cited by 3 publications

References 68 publications

Randomness assisted in-line holography with deep learning

Randomness assisted in-line holography with deep learning

Poincare vector correlations to estimate polarization dynamics in the laser speckle

Active mode single-pixel imaging through strong scattering media via least squares conditional generative adversarial networks under low sampling rates

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