Image reconstruction behind diffuser by deep learning and spatial filtering

Taichi Nishijima; Hidenobu Arimoto; Wataru Watanabe

doi:10.1117/12.2573296

15 June 2020 Image reconstruction behind diffuser by deep learning and spatial filtering

Taichi Nishijima, Hidenobu Arimoto, Wataru Watanabe

Author Affiliations +

Proceedings Volume 11521, Biomedical Imaging and Sensing Conference 2020; 1152116 (2020) https://doi.org/10.1117/12.2573296
Event: SPIE Technologies and Applications of Structured Light, 2020, Yokohama, Japan

Abstract

Computational imaging through diffusing or scattering media has attracted attention in many fields. Deep learning has been used in recent years to reconstruct images behind scattering media. As described in this paper, we investigate image reconstruction through a diffuser by changing the distance separating the diffuser and the lens. We also investigate aperture diameter effects on scattered light removal by spatial filtering.

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Taichi Nishijima, Hidenobu Arimoto, and Wataru Watanabe "Image reconstruction behind diffuser by deep learning and spatial filtering", Proc. SPIE 11521, Biomedical Imaging and Sensing Conference 2020, 1152116 (15 June 2020); https://doi.org/10.1117/12.2573296

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