Data-Driven Computational Optical Imaging

Speaker
司徒国海
Affiliation
中科院上海光学精密机械研究所
Time
2019-05-31 (Fri) 10:00
Location
上海研究院4号楼329报告厅(理化大楼一楼科技展厅同步视频)
Abstract

It is well known that neural networks including deep learning have been widely employed to solve the problems in recognition and classification. It was not until recently that people started to use them to solve imaging problems. In this lecture, I will first introduce the basic concept of deep learning, and then discuss how it can be adopted to solve computational imaging problems. In particular, I will talk about three use cases: computational ghost imaging, imaging through scattering media, and digital holography.