典型文献
Single-pixel imaging using physics enhanced deep learning
文献摘要：
Single-pixel imaging(SPI)is a typical computational imaging modality that allows two-and three-dimensional image reconstruction from a one-dimensional bucket signal acquired under structured illumination.It is in par-ticular of interest for imaging under low light conditions and in spectral regions where good cameras are unavail-able.However,the resolution of the reconstructed image in SPI is strongly dependent on the number of measurements in the temporal domain.Data-driven deep learning has been proposed for high-quality image reconstruction from a undersampled bucket signal.But the generalization issue prohibits its practical application.Here we propose a physics-enhanced deep learning approach for SPI.By blending a physics-informed layer and a model-driven fine-tuning process,we show that the proposed approach is generalizable for image reconstruction.We implement the proposed method in an in-house SPI system and an outdoor single-pixel LiDAR system,and demonstrate that it outperforms some other widespread SPI algorithms in terms of both robustness and fidelity.The proposed method establishes a bridge between data-driven and model-driven algorithms,allowing one to impose both data and physics priors for inverse problem solvers in computational imaging,ranging from remote sensing to microscopy.
文献关键词：
中图分类号：
作者姓名：
FEI WANG;CHENGLONG WANG;CHENJIN DENG;SHENSHENG HAN;GUOHAI SITU
作者机构：
Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China;Center of Materials Science and Optoelectronics Engineering,University of Chinese Academy of Sciences,Beijing 100049,China;Hangzhou Institute for Advanced Study,University of Chinese Academy of Sciences,Hangzhou 310024,China
文献出处：
引用格式：
[1]FEI WANG;CHENGLONG WANG;CHENJIN DENG;SHENSHENG HAN;GUOHAI SITU-.Single-pixel imaging using physics enhanced deep learning)[J].光子学研究（英文）,2022(01):104-110
A类：
unavail,undersampled
B类：
Single,pixel,imaging,using,physics,enhanced,deep,learning,SPI,typical,computational,modality,that,allows,two,three,dimensional,image,reconstruction,from,one,bucket,signal,acquired,structured,illumination,It,par,ticular,interest,light,conditions,spectral,regions,where,good,cameras,are,However,resolution,reconstructed,strongly,dependent,number,measurements,temporal,domain,Data,driven,has,been,proposed,high,quality,But,generalization,issue,prohibits,practical,application,Here,approach,By,blending,informed,layer,model,fine,tuning,process,show,generalizable,We,implement,method,house,system,outdoor,single,LiDAR,demonstrate,outperforms,some,other,widespread,algorithms,terms,both,robustness,fidelity,establishes,bridge,between,data,allowing,impose,priors,inverse,problem,solvers,ranging,remote,sensing,microscopy
AB值：
0.585057
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