TY - GEN
T1 - Imaging through Turbulent Media Using Deep Learning Method
AU - Zhou, Lina
AU - Chen, Xudong
AU - Chen, Wen
N1 - Funding Information:
ACKNOWLEDGMENTS The supports from National Natural Science Foundation of China (NSFC) (61605165), Shenzhen Science and Technology Innovation Commission (JCYJ20160531184426473) and Hong Kong Research Grants Council (25201416, C5011-19G) are acknowledged. Xudong Chen acknowledged the support by the National Research Foundation, Prime Minister’s Office, Singapore under its Competitive Research Program (CRP Award No. NRF-CRP15-2015-03).
Publisher Copyright:
© 2020 IEEE.
PY - 2020/7/20
Y1 - 2020/7/20
N2 - We present deep learning method that can be used to reconstruct high-quality objects through turbulent media mixed with water and milk. The objects are placed behind turbulent media, and a series of speckle patterns are correspondingly recorded. By using many pairs of the recorded speckle patterns and input object images, a designed convolutional neural network (CNN) is fully trained, and then enables the recorded speckle patterns to be processed in real time. The proposed method is promising for imaging through turbulent media, and it is also believed that the proposed method can be applicable in many areas, e.g., imaging and information optics (such as optical encoding).
AB - We present deep learning method that can be used to reconstruct high-quality objects through turbulent media mixed with water and milk. The objects are placed behind turbulent media, and a series of speckle patterns are correspondingly recorded. By using many pairs of the recorded speckle patterns and input object images, a designed convolutional neural network (CNN) is fully trained, and then enables the recorded speckle patterns to be processed in real time. The proposed method is promising for imaging through turbulent media, and it is also believed that the proposed method can be applicable in many areas, e.g., imaging and information optics (such as optical encoding).
KW - deep learning method
KW - optical imaging
KW - turbulent media
UR - http://www.scopus.com/inward/record.url?scp=85111094997&partnerID=8YFLogxK
U2 - 10.1109/INDIN45582.2020.9442210
DO - 10.1109/INDIN45582.2020.9442210
M3 - Conference article published in proceeding or book
AN - SCOPUS:85111094997
T3 - IEEE International Conference on Industrial Informatics (INDIN)
SP - 521
EP - 524
BT - Proceedings - 2020 IEEE 18th International Conference on Industrial Informatics, INDIN 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE International Conference on Industrial Informatics, INDIN 2020
Y2 - 21 July 2020 through 23 July 2020
ER -