Plug-and-play algorithm for imaging through scattering media under ambient light interference

Ma, Kai; Wang, Xia; He, Si; Li, Linhao

doi:10.1364/ol.485417

Cited by 8 publications

(1 citation statement)

References 23 publications

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“…Niu's team used the singular value decomposition for the removal of ambient light noise, as well as to improve the contrast of speckle autocorrelations; then, they introduced an additional guiding point in the object plane, through which they indirectly reconstructed the target from the speckle autocorrelation [11]. Ma et al proposed a plug-and-play algorithm based on the generalized alternating projection optimization framework; this was then combined with neural networks and the Fienup phase retrieval method fo the purposes of recovering the imaging through a scattered medium in disturbed environments [12]. Cheng et al used speckle autocorrelation information, as physical constraints, and deep learning to propose a two-stage neural network for background light denoising and object reconstruction [13].…”

Section: Introductionmentioning

confidence: 99%

Imaging through a Scattering Medium under Different Intensities of Ambient Light Interference

Zhang,

Huang,

et al. 2023

Photonics

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Many solutions for imaging through a scattering medium are sensitive to noise, which can lead to degradation or even to a failure of the image quality. This is especially the case in practical application scenarios, which are always filled with changing ambient light interference; as such, the traditional methods are difficult to practically apply. Therefore, in this paper, a spatial-frequency dual-domain learning neural network is designed for reconstructing the target of a speckle pattern under different intensities of ambient light interference. The network is mainly based on two modules. One module is designed from two perspectives, frequency domain denoising and the spatial-frequency spectrum of the speckle pattern. Another module is a dual-feature fusion attention module, which is used to improve the accuracy of the network. The experimental results demonstrate that the network is capable of reconstructing complex targets with high quality under varying intensities of interfering light. Furthermore, it is not constrained by the optical memory effect, exhibiting remarkable robustness and generalizability. The research based on this paper provides a feasible path for the practical application of scattering imaging methods.

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Section: Introductionmentioning

confidence: 99%

Imaging through a Scattering Medium under Different Intensities of Ambient Light Interference

Zhang,

Huang,

et al. 2023

Photonics

View full text Add to dashboard Cite

show abstract

Improving the performance of speckle correlation imaging by using a speckle refinement method with self-calibrated homomorphic filtering

Liu,

Cui,

Shi

et al. 2024

Optics & Laser Technology

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Prior-free mixed speckle simplex separation strategy for multi-object imaging through thin scattering media beyond the optical memory effect

Wei,

Guo,

Zhao

et al. 2023

APL Photonics

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The optical technique of imaging through scattering media based on the optical memory effect (OME) sustains a limited field-of-view (FOV). Therefore, a prior-free imaging method is proposed to reconstruct multiple objects through the scattering media beyond the OME range. Based on the mixed speckle simplex separation strategy designed in this method, separating speckles of sub-objects is simplified as seeking the vertices of the mixed speckle simplex. An effective initial analysis of the mixed speckle simplex constructed by random intensity modulation is provided by vertex component analysis. The exact speckles of sub-objects are then separated by the specially designed non-negative matrix factorization algorithm. The multiple hidden objects can be recovered from the separated speckles respectively. The feasibility and imaging effects of the proposed method have been demonstrated via experiments. Multi-object imaging through the scattering media beyond at least four times the OME range has been realized. This work effectively advances speckle separation strategies to enlarge the limited FOV for imaging through scattering media.

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Plug-and-play algorithm for imaging through scattering media under ambient light interference

Cited by 8 publications

References 23 publications

Imaging through a Scattering Medium under Different Intensities of Ambient Light Interference

Imaging through a Scattering Medium under Different Intensities of Ambient Light Interference

Improving the performance of speckle correlation imaging by using a speckle refinement method with self-calibrated homomorphic filtering

Prior-free mixed speckle simplex separation strategy for multi-object imaging through thin scattering media beyond the optical memory effect

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