IMAGE_RECONSTRUCTION

作品数:232被引量:289H指数:7
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Quantitative evaluation of intensity fidelity of superresolution reconstruction for structured illumination microscopy
《Journal of Innovative Optical Health Sciences》2025年第1期153-163,共11页Yujun Tang Linbo Wang Gang Wen Hui Li 
supported by the National Natural Science Foundation of China[Grant Nos.62205367 and 62141506];Suzhou Basic Research Pilot Project[Grant Nos.SSD2023006 and SJC2021013];Jiangsu Provincial Key Research and Development Program[Grant No.BE2020664].
Super-resolution structured illumination microscopy(SR-SIM)relies heavily on post-processing reconstruction to obtain high-quality SR images from raw data.Although many SIM reconstruction algorithms have been develope...
关键词:Structured illumination microscopy super-resolution image reconstruction intensity fidelity spectrum optimization 
Neural-field-based image reconstruction for bioluminescence tomography
《Journal of Innovative Optical Health Sciences》2025年第1期165-179,共15页Xuanxuan Zhang Xu Cao Jiulou Zhang Lin Zhang Guanglei Zhang 
supported in part by the National Natural Science Foundation of China(62101278,62001379,62271023);Beijing Natural Science Foundation(7242269).
Deep learning(DL)-based image reconstruction methods have garnered increasing interest in the last few years.Numerous studies demonstrate that DL-based reconstruction methods function admirably in optical tomographic ...
关键词:Bioluminescence tomography image reconstruction neural field 
HIET:Hybrid Information Enhancement Transformer Network for Single-Photon Image Reconstruction
《Journal of Beijing Institute of Technology》2025年第1期1-17,共17页Yiming Liu Xuri Yao Tao Zhang Yifei Sun Ying Fu 
Single-photon sensors are novel devices with extremely high single-photon sensitivity and temporal resolution.However,these advantages also make them highly susceptible to noise.Moreover,single-photon cameras face sev...
关键词:single-photon images hybrid information enhancement structual feature enhancement data simulation pipeline 
A generalized deep neural network approach for improving resolution of fluorescence microscopy images
《Journal of Innovative Optical Health Sciences》2024年第6期53-65,共13页Zichen Jin Qing He Yang Liu Kaige Wang 
Subjects funded by the National Natural Science Foundation of China(Nos.62275216 and 61775181);the Natural Science Basic Research Programme of Shaanxi Province-Major Basic Research Special Project(Nos.S2018-ZC-TD-0061 and TZ0393);the Special Project for the Development of National Key Scientific Instruments and Equipment No.(51927804).
Deep learning is capable of greatly promoting the progress of super-resolution imaging technology in terms of imaging and reconstruction speed,imaging resolution,and imagingflux.This paper proposes a deep neural netwo...
关键词:Deep learning super-resolution imaging generalized model framework generation adversarial networks image reconstruction. 
Image reconstruction from photoacoustic projections
《Photonics Insights》2024年第4期1-2,共2页Alexander A.Oraevsky 
Thirty years ago,we demonstrated laser-based depth-resolved optoacoustic imaging of biological tissues^([1–3]),laying an important foundation for modern optoacoustic tomography(OAT)alternatively called photoacoustic ...
关键词:uniquely PHOTOACOUSTIC HEATED 
Accelerated inexact Newton-Landweber iteration method for EIT image reconstruction
《黑龙江大学自然科学学报》2024年第6期690-699,共10页YANG Xue WANG Yifan WANG Jing 
National Natural Science Foundation of China(12101204,12261021);Heilongjiang Provincial Natural Science Foundation of China(LH2023A018);Modern Numerical Method Course for Research Program on Teaching Reform of Degree and Postgraduate Education of Heilongjiang University(2024)。
The image reconstruction of electrical impedance tomography(EIT)is a nonlinear and ill-posed inverse problem and the imaging results are easily affected by measurement noise,which needs to be solved by using regulariz...
关键词:electrical impedance tomography image reconstruction Landweber iteration inexact Newton-Landweber iteration Nesterov acceleration 
Discharge image reconstruction and frequency domain analysis based on event data
《High Voltage》2024年第6期1195-1201,共7页Quan Yuan Lei Deng Hao Guo Qishen Lyu Xin Zhang Jibin Wu Yu Deng Hongyang Zhou Xilin Wang Zhidong Jia 
National Natural Science Foundation of China,Grant/Award Numbers:52077118,62411560155;Basic and Applied Basic Research Foundation of Guangdong Province,Grant/Award Number:2024A1515012597。
Optical image method has been the earliest and most used direct method for observing gas discharge.Currently,research on gas discharge monitoring based on visible light mainly relies on high-speed cameras,but the larg...
关键词:IMAGE ANALYSIS holds 
Simulation and experimental comparison of the performance of four-corner-readout plastic scintillator muon-detector system被引量:1
《Nuclear Science and Techniques》2024年第11期1-12,共12页Lie He Si-Yuan Luo Xiang-Man Liu Yu-Cheng Zou Hai-Feng Zhang Wan-Cheng Xiao Yu-He Huang Xiao-Dong Wang 
supported by the National Natural Science Foundation of China(Nos.12275120,11875163);Ministry of Science and Technology of China(No.2020YFE0202001);Science and Technology Innovation Program of Hunan Province(No.2022RC1202);Hunan Provincial Natural Science Foundation(No.2021JJ20006).
Cosmic-ray muons are highly penetrating background-radiation particles found in natural environments.In this study,we develop and test a plastic scintillator muon detector based on machine-learning algorithms.The dete...
关键词:Monte Carlo simulation Muon tomography TDOA Machine learning Image reconstruction 
Combining Innovative CVTNet and Regularization Loss for Robust Adversarial Defense
《Journal of Computer Science & Technology》2024年第5期1078-1093,共16页Wei-Dong Wang Zhi Li Li Zhang 
supported by the National Natural Science Foundation of China under Grant No.62062023.
Deep neural networks(DNNs)are vulnerable to elaborately crafted and imperceptible adversarial perturbations.With the continuous development of adversarial attack methods,existing defense algorithms can no longer defen...
关键词:deep learning adversarial defense vision transformer image reconstruction 
Underwater image clarifying based on human visual colour constancy using double-opponency
《CAAI Transactions on Intelligence Technology》2024年第3期632-648,共17页Bin Kong Jing Qian Pinhao Song Jing Yang Amir Hussain 
Underwater images are often with biased colours and reduced contrast because of the absorption and scattering effects when light propagates in water.Such images with degradation cannot meet the needs of underwater ope...
关键词:COMPUTERS computer vision image processing image reconstruction 
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