In recent years,deep learning has been introduced into the field of Single-pixel imaging(SPI),garnering significant attention.However,conventional networks still exhibit limitations in preserving image details.To addr...In recent years,deep learning has been introduced into the field of Single-pixel imaging(SPI),garnering significant attention.However,conventional networks still exhibit limitations in preserving image details.To address this issue,we integrate Large Kernel Convolution(LKconv)into the U-Net framework,proposing an enhanced network structure named U-LKconv network,which significantly enhances the capability to recover image details even under low sampling conditions.展开更多
The time and efficiency of charge collection are the key factors of monolithic active pixel sensor devices for minimum ionizing particles tracking detection.In this paper,3D models of pixels with different resistivity...The time and efficiency of charge collection are the key factors of monolithic active pixel sensor devices for minimum ionizing particles tracking detection.In this paper,3D models of pixels with different resistivity epitaxial layers(epi-layers) are built and simulated using Synopsys-Sentaurus.The basic characteristics of detectors are evaluated,including electric potential,electric field,and depleted region.Results indicate that the high resistivity (HR) epi-layer is a better choice.Further,simulation results show that the key collection performance is significantly improved owing to a wider and stronger electric field in the N type HR epi-layer.展开更多
面向高能同步辐射光源(High Energy Photon Source,HEPS)的高性能像素阵列探测器(HEPS-BPIX4)的数据获取系统(Data Acquisition,DAQ)需满足高实时性要求。通过在线压缩图像数据,可有效降低后续传输与存储的压力。针对传统压缩算法在压...面向高能同步辐射光源(High Energy Photon Source,HEPS)的高性能像素阵列探测器(HEPS-BPIX4)的数据获取系统(Data Acquisition,DAQ)需满足高实时性要求。通过在线压缩图像数据,可有效降低后续传输与存储的压力。针对传统压缩算法在压缩率和实时性方面的不足,本文提出了一种基于深度学习目标检测的图像数据在线压缩方法。采用端到端的YOLO(You Only Look Once)目标检测算法,对深度学习模型进行高效训练,并验证了其在HEPS-BPIX4 DAQ数据流中实现在线数据压缩的可行性。实验结果表明,该方法的图像数据在线压缩平均压缩比达到5.88。同时,设计了高效的部署方案,并对性能进行了测试,单线程下的压缩处理速率可达GB∙s^(−1)量级。此外,进一步提出了适用于HEPS-BPIX4 DAQ框架的多线程部署方案,以满足更高的压缩性能需求,为缓解HEPS-BPIX4 DAQ系统高带宽图像数据处理压力提供了新思路。展开更多
文中介绍了应用于高光谱地球观测的CMOS有源图像传感器。该器件由全局曝光模式的像素组成512×256面阵,可实现450帧/s的帧频。全局曝光模式是由在光二极管外增加1个储存电容的方式实现的。该器件采用0.5μm标准CMOS工艺,满阱电子达...文中介绍了应用于高光谱地球观测的CMOS有源图像传感器。该器件由全局曝光模式的像素组成512×256面阵,可实现450帧/s的帧频。全局曝光模式是由在光二极管外增加1个储存电容的方式实现的。该器件采用0.5μm标准CMOS工艺,满阱电子达到140 000电子,瞬态噪声29电子,动态范围74 d B。采用该器件开发的高光谱成像仪的空间及频谱分辨率具有很高水平。展开更多
文摘In recent years,deep learning has been introduced into the field of Single-pixel imaging(SPI),garnering significant attention.However,conventional networks still exhibit limitations in preserving image details.To address this issue,we integrate Large Kernel Convolution(LKconv)into the U-Net framework,proposing an enhanced network structure named U-LKconv network,which significantly enhances the capability to recover image details even under low sampling conditions.
基金supported by the France-China Particle Physics Laboratory(FCPPL)the China Scholarship Council(CSC)grant.
文摘The time and efficiency of charge collection are the key factors of monolithic active pixel sensor devices for minimum ionizing particles tracking detection.In this paper,3D models of pixels with different resistivity epitaxial layers(epi-layers) are built and simulated using Synopsys-Sentaurus.The basic characteristics of detectors are evaluated,including electric potential,electric field,and depleted region.Results indicate that the high resistivity (HR) epi-layer is a better choice.Further,simulation results show that the key collection performance is significantly improved owing to a wider and stronger electric field in the N type HR epi-layer.
文摘文中介绍了应用于高光谱地球观测的CMOS有源图像传感器。该器件由全局曝光模式的像素组成512×256面阵,可实现450帧/s的帧频。全局曝光模式是由在光二极管外增加1个储存电容的方式实现的。该器件采用0.5μm标准CMOS工艺,满阱电子达到140 000电子,瞬态噪声29电子,动态范围74 d B。采用该器件开发的高光谱成像仪的空间及频谱分辨率具有很高水平。
