Optics Express· 2016Q1
Learning-based imaging through scattering media
- 231citations
- Q1SCImago
- 2016year
Short summary
A machine-learning method reconstructs images from single-shot measurements through scattering media without prior knowledge of the scattering process.
AI-generated from the title and abstract; the full text is not read.
Key points
- Presents a machine-learning-based method for single-shot imaging through scattering media.
- Utilizes a nonlinear regression algorithm trained on object-speckle pairs.
- Enables model-free sensing, eliminating the need for prior knowledge of sensing processes.
- Successfully reconstructed multilayer phase objects in experimental demonstrations.
AI-generated from the title and abstract; the full text is not read.
Abstract
We present a machine-learning-based method for single-shot imaging through scattering media. The inverse scattering process was calculated based on a nonlinear regression algorithm by learning a number of training object-speckle pairs. In the experimental demonstration, multilayer phase objects between scattering plates were reconstructed from intensity measurements. Our approach enables model-free sensing, where it is not necessary to know the sensing processes/models.
The authors' abstract, as published at the source. Optics Express, 2016 · DOI ↗
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Field: Acoustics and Ultrasonics
Acoustics and UltrasonicsPhysics and Astronomy