A single-lens computational imaging system combines a single lens with post-processing algorithms to achieve a lightweight design while maintaining imaging quality.However,the computational inefficiency of existing re...A single-lens computational imaging system combines a single lens with post-processing algorithms to achieve a lightweight design while maintaining imaging quality.However,the computational inefficiency of existing reconstruction methods often limits the achievable frame rate on edge devices,falling short of the practical requirement of 30-60 frames per second(fps).Here,we adopt a physics-informed neural network that integrates an improved Wiener deconvolution(IWD)with a compact Res-Unet variant.The simple yet effective Wiener deconvolution step reduces image blur and spatially variant degradation,thereby alleviating the workload of the subsequent network and enabling high-quality,real-time reconstruction.Simulation and experimental results demonstrate that this framework can further reduce the algorithmic complexity for a single-lens system,achieving real-time reconstruction at 40 fps for 640×480 resolution on an RK3588 system-on-chip(SoC),while maintaining a system modulation transfer function(MTF)above 0.39 at Nyquist frequency(42 lp/mm).展开更多
Due to the promising applications of femtosecond laser filamentation in remote sensing,great demands exist for diagnosing the spatiotemporal dynamics of filamentation.However,until now,the rapid and accurate diagnosis...Due to the promising applications of femtosecond laser filamentation in remote sensing,great demands exist for diagnosing the spatiotemporal dynamics of filamentation.However,until now,the rapid and accurate diagnosis of a femtosecond laser filament remains a severe challenge.Here,a novel filament diagnosing method is proposed,which can measure the longitudinal spatial distribution of the filament by a single laser shot-induced acoustic pulse.The dependences of the point-like plasma acoustic emission on the detection distance and angle are obtained experimentally.The results indicate that the temporal profile of the acoustic wave is independent of the detection distance and detection angle.Using the measured relation among the acoustic emission and the detection distance and angle,a single measurement of the acoustic emission generated by a single laser pulse can diagnose the spatial distribution of the laser filament through the Wiener filter deconvolution(WFD)algorithm.The results obtained by this method are in good agreement with those of traditional point-by-point acoustic diagnosis methods.These findings provide a new solution and idea for the rapid diagnosis of filament,thereby laying a firm foundation for femtosecond laser filament-based promising applications.展开更多
基金supported by the National Natural Science Foundation of China(Nos.62305250,61925504,61621001,62105243)the Major Projects of Science and Technology Commission of Shanghai(No.17JC1400800)the Fundamental Research Funds for the Central Universities,Shanghai Municipal Science and Technology Major Project(No.2021SHZDZX0100)。
文摘A single-lens computational imaging system combines a single lens with post-processing algorithms to achieve a lightweight design while maintaining imaging quality.However,the computational inefficiency of existing reconstruction methods often limits the achievable frame rate on edge devices,falling short of the practical requirement of 30-60 frames per second(fps).Here,we adopt a physics-informed neural network that integrates an improved Wiener deconvolution(IWD)with a compact Res-Unet variant.The simple yet effective Wiener deconvolution step reduces image blur and spatially variant degradation,thereby alleviating the workload of the subsequent network and enabling high-quality,real-time reconstruction.Simulation and experimental results demonstrate that this framework can further reduce the algorithmic complexity for a single-lens system,achieving real-time reconstruction at 40 fps for 640×480 resolution on an RK3588 system-on-chip(SoC),while maintaining a system modulation transfer function(MTF)above 0.39 at Nyquist frequency(42 lp/mm).
基金supported by the National Natural Science Foundation of China(Nos.12074198,12061131010,and 12304381)the Russian Science Foundation(RSF)(No.21-49-00023).
文摘Due to the promising applications of femtosecond laser filamentation in remote sensing,great demands exist for diagnosing the spatiotemporal dynamics of filamentation.However,until now,the rapid and accurate diagnosis of a femtosecond laser filament remains a severe challenge.Here,a novel filament diagnosing method is proposed,which can measure the longitudinal spatial distribution of the filament by a single laser shot-induced acoustic pulse.The dependences of the point-like plasma acoustic emission on the detection distance and angle are obtained experimentally.The results indicate that the temporal profile of the acoustic wave is independent of the detection distance and detection angle.Using the measured relation among the acoustic emission and the detection distance and angle,a single measurement of the acoustic emission generated by a single laser pulse can diagnose the spatial distribution of the laser filament through the Wiener filter deconvolution(WFD)algorithm.The results obtained by this method are in good agreement with those of traditional point-by-point acoustic diagnosis methods.These findings provide a new solution and idea for the rapid diagnosis of filament,thereby laying a firm foundation for femtosecond laser filament-based promising applications.
