TY - GEN
T1 - High-speed phase transition imaging using spike streams
AU - Xiong, Bo
AU - Wang, Ruliang
AU - Zhou, You
AU - Sun, Xuyang
AU - Yang, Yaxiong
AU - Su, Changqing
N1 - Publisher Copyright:
© 2024 The Author(s).
PY - 2024
Y1 - 2024
N2 - Phase transition process occurs rapidly and at unpredictable time, posing challenges for traditional cameras to capture the entire process at high speed. Here, we present a self-supervised learning enhanced high-speed phase transition imaging method based on spike streams.
AB - Phase transition process occurs rapidly and at unpredictable time, posing challenges for traditional cameras to capture the entire process at high speed. Here, we present a self-supervised learning enhanced high-speed phase transition imaging method based on spike streams.
UR - https://www.scopus.com/pages/publications/85211728113
U2 - 10.1364/3d.2024.jd6a.2
DO - 10.1364/3d.2024.jd6a.2
M3 - 会议稿件
AN - SCOPUS:85211728113
T3 - Quantum Sensing and Metrology, QSM 2024 in Proceedings Optica Sensing Congress 2024, AIS, LACSEA, Sensors, QSM - Part of Optica Sensing Congress
BT - Quantum Sensing and Metrology, QSM 2024 in Proceedings Optica Sensing Congress 2024, AIS, LACSEA, Sensors, QSM - Part of Optica Sensing Congress
PB - Optical Society of America
T2 - Quantum Sensing and Metrology, QSM 2024 - Part of Optica Sensing Congress
Y2 - 15 July 2024 through 19 July 2024
ER -