Tracking moving targets with wide depth of field behind a scattering medium using deep learning
JAPANESE JOURNAL OF APPLIED PHYSICS(2022)
Abstract
When light propagates through a scattering medium, imaging of an object hidden behind the scattering medium is difficult due to wavefront distortion. Scattering imaging is a technique for reconstructing images by solving the problem of complex reconstruction from speckle images. Tracking moving targets behind a scattering medium is a challenge. Scattering imaging using deep learning is a robust technique that learns a huge number of pairs of ground-truth images and speckle images. Here, we demonstrate tracking of moving targets with an extended depth of field behind a scattering medium based on deep learning of speckle images acquired at different depths. We found that it was possible to track moving targets over a wide axial direction by increasing the number of trained positions.
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Key words
imaging through turbid media,speckle,deep learning,scattering,depth of field
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