Non-invasive imaging through scattering medium and around corners beyond 3D memory effect

Shi, Yingjie; Guo, Enlai; Sun, Min; Bai, Lianfa; Han, Jing

doi:10.1364/ol.470222

Cited by 13 publications

(5 citation statements)

References 18 publications

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“…However, this memory effect is limited and inversely proportional to the thickness of the medium, which hinders the application of methods such as the cross-correlation method in speckle imaging. Numerous studies are currently exploring various methods to enhance the memory effect range of the scattering medium [31][32][33]; however, the mitigation of the aforementioned issue remains challenging.…”

Section: Principlesmentioning

confidence: 99%

Opto-Electronic Hybrid Network Based on Scattering Layers

Zhu,

An,

Yang

et al. 2023

Sensors

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Owing to the disparity between the computing power and hardware development in electronic neural networks, optical diffraction networks have emerged as crucial technologies for various applications, including target recognition, because of their high speed, low power consumption, and large bandwidth. However, traditional optical diffraction networks and electronic neural networks are limited by long training durations and hardware requirements for complex applications. To overcome these constraints, this paper proposes an innovative opto-electronic hybrid system that combines optical diffraction networks with electronic neural networks. Using scattering layers to replace the diffraction layers in traditional optical diffraction networks, this hybrid system circumvents the challenging training process associated with diffraction layers. Spectral outputs of the optical diffraction network were processed using a simple backpropagation neural network, forming an opto-electronic hybrid network exhibiting exceptional performance with minimal data. For three-class target recognition, this network attains a classification accuracy of 93.3% within a substantially short training time of 9.2 s using only 100 data samples (training: 70 and testing: 30). Furthermore, it demonstrates exceptional insensitivity to position errors in scattering elements, enhancing its robustness. Therefore, the proposed opto-electronic hybrid network presents substantial application prospects in the fields of machine vision, face recognition, and remote sensing.

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Section: Principlesmentioning

confidence: 99%

Opto-Electronic Hybrid Network Based on Scattering Layers

Zhu,

An,

Yang

et al. 2023

Sensors

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“…Scattering imaging has emerged as a dynamic research area, primarily focusing on reconstructing degraded images of objects obscured by highly scattering materials 1 – 5 This technology is finding practical applications across various fields, such as fluorescence imaging, 3 X-ray source focal spot measurement, 6 and super-resolution imaging 7 . To visualize objects hidden within or behind a highly scattering medium, various approaches have been developed; these include wavefront shaping, 8 , 9 optical coherence tomography, 10 , 11 and methods using transmission matrix 12 , 13 .…”

Section: Introductionmentioning

confidence: 99%

Phase retrieval algorithm for the reconstruction of scattered images for visible and X-ray light sources

Lei,

Luo,

Liu

et al. 2024

Opt. Eng.

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Single-shot non-invasive imaging through a scattering medium has been an area of research focus for several years. Achieving an accurate autocorrelation distribution is crucial for effective image reconstruction. However, the obtained autocorrelation is always contaminated by various types of noise. In this study, we propose an effective method to extract the autocorrelation distribution of the sample from the noise-laden raw data before image retrieval. This is accomplished by incorporating an intensity threshold and a spatial Gaussian filter into the retrieval algorithm, which effectively eliminates the noise artifacts in the reconstructed image. The proposed algorithm exhibited remarkable robustness for both visible (laser, white light, and light-emitting diode light) and X-ray light sources, and its efficacy was verified through multiple experiments.

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“…In addition to this, to maintain the linearly shift-invariant characteristics of the point spread function under spatially deltacorrelated illumination transmitted through scattering media, as governed by the optical memory effects, all radiations over a concealed object must pass through the "memory area" within the media. As a result, researchers had to employ a finite aperture or a collimating lens inside the media, usually tailored to the object's size, along with smaller speckles, to maximize these effects [5,6]. However, under practical remote sensing conditions, the ability to confine the memory area is limited.…”

Section: Introductionmentioning

confidence: 99%

Object detection through obscurants using partially coherent fields generated by perfect optical vortex beams

Lee,

Acevedo,

Dogariu

2024

Image Sensing Technologies: Materials, Devices, Systems, and Applications XI

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One of the methods for detecting an object behind obscurants primarily relies on the well-known principle that the autocorrelation of the object's reflectance is effectively equivalent to the autocorrelation of the reflected intensity captured after the obscurants in conventional incoherent illuminations. Here, we present a novel approach to acquiring information about an object embedded in obscurants by illuminating it with different modes of a Bessel-Gaussian beam in the far field, also known as a perfect optical vortex beam (POV). Each POV with discrete topological charges scattered from a turbid medium induces quasi-independent speckle fields. Therefore, the incoherent averaging of the speckle intensities makes it feasible to apply the imaging method. Through numerical analysis, we determine the optimal configurations of POVs for the number of shots and the size of speckles required for effectively imaging a hidden object. Consequently, we can reconstruct the object's details. Unlike conventional incoherent sources, our approach is anticipated to efficiently identify distant objects and offer versatile applications through the adjustment of the speckle aspect ratio.

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Non-invasive imaging through scattering medium and around corners beyond 3D memory effect

Cited by 13 publications

References 18 publications

Opto-Electronic Hybrid Network Based on Scattering Layers

Opto-Electronic Hybrid Network Based on Scattering Layers

Phase retrieval algorithm for the reconstruction of scattered images for visible and X-ray light sources

Object detection through obscurants using partially coherent fields generated by perfect optical vortex beams

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