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作 者:Yizhao Meng Yu Lu Pengfei Zhang Yi Liu Fei Yin Lin Kai Qing Yang Feng Chen
机构地区:[1]State Key Laboratory for Manufacturing System Engineering and Shaanxi Key Laboratory of Photonics Technology for Information,School of Electronic Science and Engineering,Xi’an Jiaotong University,Xi’an 710049,China [2]School of Mechanical Engineering,Xi’an Jiaotong University,Xi’an 710049,China
出 处:《Opto-Electronic Advances》2025年第1期32-43,共12页光电进展(英文)
基 金:supported by the National Science Foundation of China(No.12127806,No.62175195 and No.12304382);the International Joint Research Laboratory for Micro/Nano Manufacturing and Measurement Technologies.
摘 要:Single-shot ultrafast compressed imaging(UCI)is an effective tool for studying ultrafast dynamics in physics,chemistry,or material science because of its excellent high frame rate and large frame number.However,the random code(Rcode)used in traditional UCI will lead to low-frequency noise covering high-frequency information due to its uneven sampling interval,which is a great challenge in the fidelity of large-frame reconstruction.Here,a high-frequency enhanced compressed active photography(H-CAP)is proposed.By uniformizing the sampling interval of R-code,H-CAP capture the ultrafast process with a random uniform sampling mode.This sampling mode makes the high-frequency sampling energy dominant,which greatly suppresses the low-frequency noise blurring caused by R-code and achieves high-frequency information of image enhanced.The superior dynamic performance and large-frame reconstruction ability of H-CAP are verified by imaging optical self-focusing effect and static object,respectively.We applied H-CAP to the spatial-temporal characterization of double-pulse induced silicon surface ablation dynamics,which is performed within 220 frames in a single-shot of 300 ps.H-CAP provides a high-fidelity imaging method for observing ultrafast unrepeatable dynamic processes with large frames.
关 键 词:ultrafast compressed imaging high-frequency enhanced sampling spectral-temporal transform transient processes high-fidelity reconstruction
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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