Single-shot noninvasive three-dimensional imaging through scattering media

Horisaki, Ryoichi; Okamoto, Yuka; Tanida, Jun

doi:10.1364/ol.44.004032

Cited by 32 publications

(15 citation statements)

References 49 publications

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“…Generally speaking, axial displacements of both the scatter and the imaging optics reduce the correlation of the speckle intensity measurements 26 . Recently, the 3D memory effect has been used to expand the imaging range and achieve extended depth-of-field (DOF) in incoherent imaging through scatter [27][28][29][30] . Coherent imaging under defocus is further complicated by diffraction effects.…”

Section: Introductionmentioning

confidence: 99%

Displacement-agnostic coherent imaging through scatter with an interpretable deep neural network

Li¹,

Cheng²,

Xue³

et al. 2021

Opt. Express

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Coherent imaging through scatter is a challenging topic in computational imaging. Both model-based and data-driven approaches have been explored to solve the inverse scattering problem. In our previous work, we have shown that a deep learning approach for coherent imaging through scatter can make high-quality predictions through unseen diffusers. Here, we propose a new deep neural network (DNN) model that is agnostic to a broader class of perturbations including scatter change, displacements, and system defocus up to 10X depth of field. In addition, we develop a new analysis framework for interpreting the mechanism of our DNN model and visualizing its generalizability based on an unsupervised dimension reduction technique. We show that the DNN can unmix the diffuser/displacement information and distill the objectspecific information to achieve generalization under different scattering conditions. Our work paves the way to a highly scalable deep learning approach to different scattering conditions and a new framework for network interpretation.

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Section: Introductionmentioning

confidence: 99%

Displacement-agnostic coherent imaging through scatter with an interpretable deep neural network

Li¹,

Cheng²,

Xue³

et al. 2021

Opt. Express

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“…Reference‐free techniques involving phase retrieval algorithms and memory effect have been investigated but cannot reveal the spectral composition. [ 23,24 ] Recently, a computational approach has been developed to reduce the number of PSHs required. [ 25,26 ] Single‐shot spatio‐spectral imaging techniques have also been developed based on Fresnel incoherent correlation holography (FINCH), but the synthesis of PSHs is cumbersome and requires either an advanced fabrication method to manufacture the diffractive elements or an active device with many camera shots.…”

Section: Introductionmentioning

confidence: 99%

Spatio‐Spectral‐Temporal Imaging of Fast Transient Phenomena Using a Random Array of Pinholes

Anand

Katkus

et al. 2020

Advanced Photonics Research

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Fast transient phenomena such as light–matter interactions, rapid electrical discharge, light scattering in tissues, and biochemical reactions that generate light signatures can be studied using high‐speed cameras. Herein, a lensless, single camera shot, spatio‐spectral‐temporal imaging technique based on chaotic waves is proposed and demonstrated. A random pinhole array is used as a chaotic wave generator to map every color point source in the object space to a unique random distribution. The spatio‐spectral signatures are recorded for two cases using a monochrome high‐speed camera, and an extensive library of spatio‐spectral signatures is synthesized by computational interpolation and extrapolation using the scaling factors of the Fresnel propagators. A spark generated by an abrupt electrical discharge is converted into a chaotic wave using the same pinhole array, and the hologram is recorded using the monochrome high‐speed camera in time. The recorded hologram of the spark is decomposed into spatio‐spectral 4D events in time with a temporal resolution of 40 μs using the semisynthetic spatio‐spectral signatures.

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“…As the development of imaging technology using scattering media, the quality of imaging will be better and better in the future. Scattering media can also achieve three-dimensional imaging [28], which further expands the role of scattering media in imaging systems.…”

Section: Resultsmentioning

confidence: 99%

Simultaneously improving multiple imaging parameters with scattering media

Zhao

Dong

et al. 2021

Appl. Opt.

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Traditional optical imaging systems can provide high-quality imaging with complicated and expensive optical design by eliminating aberrations. With the help of optical memory effect (ME), not independently improving single imaging parameter, but simultaneously improving several imaging parameters by adding scattering media to the imaging systems was demonstrated firstly. As an example, in a simple single-lens imaging system, except the depth-of-field (DOF) was improved greatly, spherical aberration, coma aberration and chromatic aberration were eliminated simultaneously by placing a scattering medium between the lens and the camera. The results indicate the potential applications of scattering media in many fields such as optical imaging, optical measurements and biomedical applications.

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Single-shot noninvasive three-dimensional imaging through scattering media

Cited by 32 publications

References 49 publications

Displacement-agnostic coherent imaging through scatter with an interpretable deep neural network

Displacement-agnostic coherent imaging through scatter with an interpretable deep neural network

Spatio‐Spectral‐Temporal Imaging of Fast Transient Phenomena Using a Random Array of Pinholes

Simultaneously improving multiple imaging parameters with scattering media

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