Learning-based imaging through scattering media

被引：182

作者：

Horisaki, Ryoichi ^{[1
]}

Takagi, Ryosuke ^{[1
]}

Tanida, Jun ^{[1
]}

机构：

[1] Osaka Univ, Grad Sch Informat Sci & Technol, Dept Informat & Phys Sci, 1-5 Yamadaoka, Suita, Osaka 5650871, Japan

来源：

OPTICS EXPRESS | 2016年 / 24卷 / 13期

关键词：

TRANSMISSION MATRIX;

D O I：

10.1364/OE.24.013738

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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, multi-layer 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. (C) 2016 Optical Society of America

引用

页码：13738 / 13743

页数：6

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