Exploiting the point spread function for optical imaging through a scattering medium based on deconvolution method

He, Hexiang; Xie, Xiangsheng; Liu, Yikun; Liang, Haowen; Zhou, Jianying

doi:10.1142/s1793545819300052

Cited by 19 publications

(2 citation statements)

References 54 publications

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“…inferring the complete information of the whole image from the correlation function, is not possible, especially since information on the molecular clouds cannot be reconstructed. Reconstructions of the original images are possible but computationally intensive and usually require more detailed knowledge of the specific PSF [50,[72][73][74]. To reconstruct the original speckle pattern (or density distribution) using this setup, one would need the exact point-spread function and not just a rough estimate.…”

Section: Discussionmentioning

confidence: 99%

Characterizing quantum gases in time-controlled disorder realizations using cross-correlations of density distributions

Hiebel,

Nagler,

Barbosa

et al. 2024

New J. Phys.

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The role of disorder on physical systems has been widely studied in the macroscopic and microscopic world. While static disorder is well understood in many cases, the impact of time-dependent disorder on quantum gases is still poorly investigated. In our experimental setup, we introduce and characterize a method capable of producing time-controlled optical-speckle disorder. Experimentally, coherent light illuminates a combination of a static and a rotating diffuser, thereby collecting a spatially varying phase due to the diffusers’ structure and a temporally variable phase due to the relative rotation. Controlling the rotation of the diffuser allows changing the speckle realization or, for future work, the characteristic time scale of the change of the speckle pattern, i.e., the correlation time, matching typical time scales of the quantum gases investigated. We characterize the speckle pattern ex-situ by measuring its intensity distribution cross-correlating different intensity patterns. In- situ, we observe its impact on a molecular Bose-Einstein condensate (BEC) and cross- correlate the density distributions of BECs probed in different speckle realizations. As one diffuser rotates relative to the other around the common optical axis, we trace the optical speckle’s intensity cross-correlations and the quantum gas’ density cross- correlations. Our results show comparable outcomes for both measurement methods. The setup allows us to tune the disorder potential adapted to the characteristics of the quantum gas. These studies pave the way for investigating nonequilibrium physics in interacting quantum gases using controlled dynamical-disorder potentials.

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Section: Discussionmentioning

confidence: 99%

Characterizing quantum gases in time-controlled disorder realizations using cross-correlations of density distributions

Hiebel,

Nagler,

Barbosa

et al. 2024

New J. Phys.

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“…How to obtain target information through the scattering medium has become a hot research topic. The existing technologies to look through an opaque medium mainly include adaptive optics technology [3,4], optical coherence tomography [5,6], and methods based on point spread function or transmission matrix [7][8][9][10][11]. Methods based on speckle correlation and machine learning are also increasingly being used [12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Imaging Complex Targets through a Scattering Medium Based on Adaptive Encoding

et al. 2022

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The scattering of light after passing through a complex medium poses challenges in many fields. Any point in the collected speckle will contain information from the entire target plane because of the randomness of scattering. The detailed information of complex targets is submerged in the aliased signal caused by random scattering, and the aliased signal causes the quality of the recovered target to be degraded. In this paper, a new neural network named Adaptive Encoding Scattering Imaging ConvNet (AESINet) is constructed by analyzing the physical prior of speckle image redundancy to recover complex targets hidden behind the opaque medium. AESINet reduces the redundancy of speckle through adaptive encoding which effectively improves the separability of data; the encoded speckle makes it easier for the network to extract features, and helps restore the detailed information of the target. The necessity for adaptive encoding is analyzed, and the ability of this method to reconstruct complex targets is tested. The peak signal-to-noise ratio (PSNR) of the reconstructed target after adaptive encoding can be improved by 1.8 dB. This paper provides an effective reference for neural networks combined with other physical priors in scattering processes.

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Evaluation of the Spatial Resolution of Digital Aerospace Image by the Bidirectional Point Spread Function Parameterization

Stankevich

2020

Advances in Intelligent Systems and Computing

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Exploiting the point spread function for optical imaging through a scattering medium based on deconvolution method

Cited by 19 publications

References 54 publications

Characterizing quantum gases in time-controlled disorder realizations using cross-correlations of density distributions

Characterizing quantum gases in time-controlled disorder realizations using cross-correlations of density distributions

Imaging Complex Targets through a Scattering Medium Based on Adaptive Encoding

Evaluation of the Spatial Resolution of Digital Aerospace Image by the Bidirectional Point Spread Function Parameterization

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