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Pluggable multitask diffractive neural networks based on cascaded metasurfaces

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Opto-Electronic Advances 2024年第2期7卷 23-31页

作者： Cong He Dan Zhao Fei Fan Hongqiang Zhou Xin Li Yao Li Junjie Li Fei Dong Yin-Xiao Miao Yongtian Wang Lingling Huang Beijing Engineering Research Center of Mixed Reality and Advanced Display Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of ChinaSchool of Optics and PhotonicsBeijing Institute of TechnologyBeijing 100081China Institute of Modern Optics Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network TechnologyNankai UniversityTianjin 300350China Department of Physics and Optoelectronics Faculty of ScienceBeijing University of TechnologyBeijing 100124China Beijing National laboratory for Condensed Matter Physics Institute of PhysicsChinese Academy of SciencesBeijing 100191China Beijing Aerospace Institute for Metrology and Measurement technology Beijing 100076China

Optical neural networks have significant advantages in terms of power consumption,parallelism,and high computing speed,which has intrigued extensive attention in both academic and engineering communities.It has been considered as one of the powerful tools in promoting the fields of imaging processing and object recognition.However,the existing optical system architecture cannot be reconstructed to the realization of multi-functional artificial intelligence systems simultaneously.To push the development of this issue,we propose the pluggable diffractive neural networks(P-DNN),a general paradigm resorting to the cascaded metasurfaces,which can be applied to recognize various tasks by switching internal plug-ins.As the proof-of-principle,the recognition functions of six types of handwritten digits and six types of fashions are numerical simulated and experimental demonstrated at near-infrared regimes.Encouragingly,the proposed paradigm not only improves the flexibility of the optical neural networks but paves the new route for achieving high-speed,low-power and versatile artificial intelligence systems.

关键词： optical neural networks diffractive deep neural networks cascaded metasurfaces

Fast source mask co-optimization method for high-NA EUV lithography

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Opto-Electronic Advances 2024年第4期7卷 44-54页

作者： Ziqi Li Lisong Dong Xu Ma Yayi Wei EDA Center Institute of Microelectronics of Chinese Academy of SciencesBeijing 100029China key laboratory of photoelectronic Imaging technology and system of Ministry of Education of China School of Optics and PhotonicsBeijing Institute of TechnologyBeijing 100081China University of Chinese Academy of Sciences Beijing 100049China Guangdong Greater Bay Area Applied Research Institute of Integrated Circuit and systems Guangzhou 510700China

Extreme ultraviolet(EUV)lithography with high numerical aperture(NA)is a future technology to manufacture the integrated circuit in sub-nanometer dimension.Meanwhile,source mask co-optimization(SMO)is an extensively used approach for advanced lithography process beyond 28 nm technology node.This work proposes a novel SMO method to improve the image fidelity of high-NA EUV lithography system.A fast high-NA EUV lithography imaging model is established first,which includes the effects of mask three-dimensional structure and anamorphic magnification.Then,this paper develops an efficient SMO method that combines the gradient-based mask optimization algorithm and the compressivesensing-based source optimization algorithm.A mask rule check(MRC)process is further proposed to simplify the optimized mask pattern.Results illustrate that the proposed SMO method can significantly reduce the lithography patterning error,and maintain high computational efficiency.

关键词： computational lithography high-NA EUV lithography source-mask co-optimization lithography imaging model

Single-image night haze removal based on color channel transfer and estimation of spatial variation in atmospheric light

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Defence technology（防务技术） 2023年第7期25卷 134-151页

作者： Shu-yun Liu Qun Hao Yu-tong Zhang Feng Gao Hai-ping Song Yu-tong Jiang Ying-sheng Wang Xiao-ying Cui Kun Gao key laboratory of photoelectronic Imaging technology and system Ministry of EducationSchool of Optics and PhotonicsBeijing Institute of TechnologyBeijing100081China China North Vehicle Research Institute BeijingChina

The visible-light imaging system used in military equipment is often subjected to severe weather conditions, such as fog, haze, and smoke, under complex lighting conditions at night that significantly degrade the acquired images. Currently available image defogging methods are mostly suitable for environments with natural light in the daytime, but the clarity of images captured under complex lighting conditions and spatial changes in the presence of fog at night is not satisfactory. This study proposes an algorithm to remove night fog from single images based on an analysis of the statistical characteristics of images in scenes involving night fog. Color channel transfer is designed to compensate for the high attenuation channel of foggy images acquired at night. The distribution of transmittance is estimated by the deep convolutional network DehazeNet, and the spatial variation of atmospheric light is estimated in a point-by-point manner according to the maximum reflection prior to recover the clear image. The results of experiments show that the proposed method can compensate for the high attenuation channel of foggy images at night, remove the effect of glow from a multi-color and non-uniform ambient source of light, and improve the adaptability and visual effect of the removal of night fog from images compared with the conventional method.

关键词： Dehazing image captured at night Chromaticity fusion correction Color channel transfer Spatial change-based atmospheric light estimation DehazeNet

Photon total angular momentum manipulation

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Advanced Photonics 2023年第5期5卷 41-49页

作者： Lang Li Yingchi Guo Zhichao Zhang Zijun Shang Chen Li Jiaqi Wang Liliang Gao Lan Hai Chunqing Gao Shiyao Fu Beijing Institute of technology School of Optics and PhotonicsBeijingChina Ministry of Education of the People’s Republic of China Key Laboratory of Photoelectronic Imaging Technology and SystemBeijingChina Ministry of Industry and Information technology of the People’s Republic of China Key Laboratory of Information Photonics TechnologyBeijingChina

As an inherent degree of freedom,total angular momentum(TAM)of photons consisting of spin angular momentum and orbital angular momentum has inspired many advanced applications and attracted much attention in recent years.Probing TAM and tailoring beam’s TAM spectrum on demand are of great significance for TAM-based scenarios.We propose both theoretically and experimentally a TAM processor enabling tunable TAM manipulation.Such a processor consists of a set of quasi-symmetric units,and each unit is composed of a couple of diffraction optical elements fabricated through polymerized liquid crystals.Forty-two single TAM states are experimentally employed to prove the concept.The favorable results illustrate good TAM state selection performance,which makes it particularly attractive for high-speed large-capacity data transmission,optical computing,and high-security photon encryption systems.

关键词： vortex beams orbital angular momentum spin angular momentum total angular momentum tailoring

Lidar-based Action Recognition Algorithm for Medical Quality Control

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激光与光电子学进展 2023年

作者： Wang Yuanze Zhang Haiyang Wu Xuan Kong Chunxiu Ju Yezhao Zhao Changming School of Optics and Photonics Beijing Institute of Technology key laboratory of photoelectronic Imaging technology and system Ministry of Education Beijing 100081 China3 Key Laboratory of Information Photon Technology Ministry of Industry and Information Technology

Medical action recognition is crucial for ensuring the quality of medical services. With the development of deep learning, RGB camera-based human action recognition has made great progress. However, RGB camera has problems such as depth ambiguity and privacy violation. In this paper, we propose a novel lidar-based action recognition algorithm for medical quality control. The point cloud data is used to recognize the doctor’s hand-washing actions and record the duration. An improved anchor-to-joint(A2J) network, with Pyramid Vision Transformer(PVT) and Feature Pyramid Networks(FPN) module, is developed for human pose estimation. And a graph convolution network(GCN) is designed for action classification based on skeleton data. First, we evaluated the performance of improved A2J on the open-source ITOP dataset and our medical pose estimation(MPE) dataset. Then we tested our medical action recognition method in actual wards to demonstrate its effectiveness and running efficiency. The results show that the algorithm can effectively recognize the actions of medical staff, with good real-time performance and 95.6% action classification accuracy.

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A composite peptide-supramolecular microneedle system for melanoma immunotherapy

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Nano Research 2023年第4期16卷 5335-5345页

作者： Mengzhen Li Minxuan Wang Lingyun Li Limin Zhang Bing Ma Weizhi Wang key laboratory of Medical Molecule Science and Pharmaceutics Engineering Ministry of Industry and Information TechnologyKey Laboratory of Cluster Science of Ministry of EducationBeijing Key Laboratory of Photoelectronic/Electro-photonic Conversion MaterialsSchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing 100081China

Despite recent advances in melanoma treatment through the use of antibody immunotherapy,the clinical benefit remains restricted by its inefficient infiltration and immunosuppression within the tumor microenvironment(TME).In addition,immunerelated adverse events(irAEs)have often occurred due to the off-target binding of therapeutic drugs to normal tissues after systematic administration.Herein,we constructed an integrated and cascaded drug delivery system for the treatment of melanoma.In addition to blocking the programmed cell death protein 1 or its ligand(PD-1/PD-L1)axis,the PD-L1 targeting peptide(FE)with spherical micelle self-assembly characteristics could also effectively encapsulate the immune adjuvant resiquimod(R848),and form a complete nano drug.FE^(R)was further integrated into tumor-responsive microneedles(MNs)to establish FE^(R)@MN and could reach the cascaded functions.FE^(R)could be sustainedly released from the MN system and disassemble into monomers,achieving PD-1/PD-L1 axis blockade whilst reprogramming the immunosuppressive TME.Notably,FE^(R)@MN permits the controllable release and retention enhancement of the targeting peptide in the TME,thus causing prolonged PD-L1 blockade effect.It is demonstrated that this synergistic treatment could efficiently inhibit melanoma growth,providing a new strategy for the combination treatment of melanoma.

关键词： targeting peptide cascaded drug delivery microneedle immune checkpoint blockade self-assembly

Second harmonic generation of laser beams in transverse mode locking states

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Advanced Photonics 2022年第2期4卷 68-77页

作者： Zilong Zhang Yuan Gao Xiangjia Li Xin Wang Suyi Zhao Qiang Liu Changming Zhao Beijing Institute of technology School of Optics and PhotonicsBeijingChina Ministry of Education Key Laboratory of Photoelectronic Imaging Technology and SystemBeijingChina Ministry of Industry and Information technology Key Laboratory of Photonics Information TechnologyBeijingChina Arizona State University School for Engineering of MatterTransport and EnergyDepartment of Aerospace and Mechanical EngineeringTempeArizonaUnited States Ministry of Education Key Laboratory of Photonic Control Technology(Tsinghua University)BeijingChina Tsinghua University Department of Precision InstrumentState Key Laboratory of Precision Measurement Technology and InstrumentsBeijingChina

Nonlinear frequency conversion of structured beams has been of great interest recently.We present an intracavity second harmonic generation(SHG)of laser beams in transverse mode locking(TML)states with a specially designed sandwich such as a microchip laser.The intracavity nonlinear frequency conversion process of a laser beam in a TML state to its second harmonic is theoretically and experimentally investigated,considering different relative phase and weight parameters between the basic modes in the TML beam.Comparison between the far-field SHG beam patterns of fundamental frequency transverse modes in coherently locked and incoherently superposed states demonstrates that the SHG of TML beams can carry more information.Various rarely observed far-field SHG beam patterns are obtained,and they are consistent with the theoretical analysis and numerical simulations.With the obtained SHG beams,the characteristics of the structured fundamental frequency beams can also be conversely investigated or predicted.This work may have important applications in optical 3D printing,optical trapping of particles,and free-space optical communication areas.

关键词： transverse mode locking optical vortex lattice structured beams second harmonic generation

Quality assessment for visible and infrared color fusion images of typical scenes

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Chinese Optics Letters 2012年第8期10卷 18-22页

作者：高绍姝金伟其王岭雪 MoE key laboratory of photoelectronic Imaging technology and system School of OptoelectronicsBeijing Institute of Technology

Two comprehensive evaluation metrics, image perceptual quality based on target detectability （PQTD） and perceptual quality based on scene understanding （PQSU）, are proposed to measure image quality for visible and infrared color fusion images of typical scenes. A psychophysical experiment is performed to explore the relationship between conventional quality attributes and the proposed evaluation metrics. The prediction models for PQTD and PQSU are derived by multiple linear regression statistical analyses. Results show that the variation of PQTD can be predicted by sharpness and perceptual contrast between the target and background, and that color harmony and sharpness can predict PQSU. The proposed evaluation metrics and their prediction models provide a foundation for further developing objective quality evaluation of color fusion images.

关键词： Color Linear regression Mathematical models

Evaluation of influences of frequency and amplitude on image degradation caused by satellite vibrations

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Chinese Physics B 2015年第5期24卷 614-620页

作者：南一冰唐义张丽君郑成王静 key laboratory of photoelectronic Imaging technology and system of Ministry of Education of China School of Optoelectronics Beijing Institute of Technology

Satellite vibrations during exposure will lead to pixel aliasing of remote sensors, resulting in the deterioration of image quality. In this paper, we expose the problem and discuss the characteristics of satellite vibrations, and then present a pixel mixing model. The idea of mean mixing ratio （MMR） is proposed. MMR computations for different frequencies are implemented. In the mixing model, a coefficient matrix is introduced to estimate each mixed pixel. Thus, the simulation of degraded image can be performed when the vibration attitudes are known. The computation of MMR takes into considera- tion the influences of various frequencies and amplitudes. Therefore, the roles of these parameters played in the degradation progress are identified. Computations show that under the same vibration amplitude, the influence of vibrations fluctuates with the variation of frequency. The fluctuation becomes smaller as the frequency rises. Two kinds of vibration imaging experiments are performed： different amplitudes with the same frequency and different frequencies with the same amplitude. Results are found to be in very good agreement with the theoretical results. MMR has a better description of image quality than modulation transfer function （MTF）. The influence of vibrations is determined mainly by the amplitude rather than the frequency. The influence of vibrations on image quality becomes gradually stable with the increase of frequency.

关键词： image degradation satellite vibrations image quality frequency