Optica· 2018Q1
Deep speckle correlation: a deep learning approach toward scalable imaging through scattering media
- 515citations
- Q1SCImago
- 2018year
Short summary
A novel deep learning framework uses a "one-to-all" statistical approach to enable scalable imaging through scattering media, overcoming the limitations of traditional "one-to-one" transmission matrix methods.
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Key points
- Introduces a "one-to-all" deep learning statistical approach for imaging through scattering media.
- Develops a CNN that learns statistical information from speckle intensity patterns.
- Achieves generalization to entirely new diffusers of the same class, unlike traditional "one-to-one" methods.
- Offers a scalable solution resilient to speckle decorrelations and medium perturbations.
AI-generated from the title and abstract; the full text is not read.
Abstract
Imaging through scattering is an important yet challenging problem. Tremendous progress has been made by exploiting the deterministic input–output “transmission matrix” for a fixed medium. However, this “one-to-one” mapping is highly susceptible to speckle decorrelations – small perturbations to the scattering medium lead to model errors and severe degradation of the imaging performance. Our goal here is to develop a new framework that is highly scalable to both medium perturbations and measurement requirement. To do so, we propose a statistical “one-to-all” deep learning (DL) technique that encapsulates a wide range of statistical variations for the model to be resilient to speckle decorrelations. Specifically, we develop a convolutional neural network (CNN) that is able to learn the statistical information contained in the speckle intensity patterns captured on a set of diffusers having the same macroscopic parameter. We then show for the first time, to the best of our knowledge, that the trained CNN is able to generalize and make high-quality object predictions through an entirely different set of diffusers of the same class. Our work paves the way to a highly scalable DL approach for imaging through scattering media.
The authors' abstract, as published at the source. Optica, 2018 · DOI ↗
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Field: Acoustics and Ultrasonics
Acoustics and UltrasonicsPhysics and Astronomy