TY - GEN
T1 - Learning Based Holographic Reconstruction through a Diffuser
AU - Zhou, Lina
AU - Xiao, Yin
AU - Chen, Wen
PY - 2019/6/17
Y1 - 2019/6/17
N2 - Object recovery from speckle patterns has been extensively studied, and holographic reconstruction technique is verified to be highly effective for recovering objects. However, for the holograms recorded through scattering media, conventional holographic techniques cannot retrieve useful information from the holograms. In this paper, we present an approach based on convolution neural network (CNN) for holographic reconstruction through a diffuser. The object is placed behind a diffuser, and the corresponding hologram is recorded by a CCD camera. With pairs of holograms and their original objects sent to the designed learning structure, a CNN model is trained to perform unknown-object retrieval from the holograms. This learning-based approach can make predictions of the unknown test objects in real time. It provides a feasible structure to conduct object recovery from the holograms recorded through a diffuser.
AB - Object recovery from speckle patterns has been extensively studied, and holographic reconstruction technique is verified to be highly effective for recovering objects. However, for the holograms recorded through scattering media, conventional holographic techniques cannot retrieve useful information from the holograms. In this paper, we present an approach based on convolution neural network (CNN) for holographic reconstruction through a diffuser. The object is placed behind a diffuser, and the corresponding hologram is recorded by a CCD camera. With pairs of holograms and their original objects sent to the designed learning structure, a CNN model is trained to perform unknown-object retrieval from the holograms. This learning-based approach can make predictions of the unknown test objects in real time. It provides a feasible structure to conduct object recovery from the holograms recorded through a diffuser.
UR - http://www.scopus.com/inward/record.url?scp=85082003904&partnerID=8YFLogxK
U2 - 10.1109/PIERS-Spring46901.2019.9017656
DO - 10.1109/PIERS-Spring46901.2019.9017656
M3 - Conference article published in proceeding or book
AN - SCOPUS:85082003904
T3 - Progress in Electromagnetics Research Symposium
SP - 105
EP - 109
BT - 2019 PhotonIcs and Electromagnetics Research Symposium - Spring, PIERS-Spring 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 PhotonIcs and Electromagnetics Research Symposium - Spring, PIERS-Spring 2019
Y2 - 17 June 2019 through 20 June 2019
ER -