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- W4296736612 abstract "We propose an unfolding network GapUNet for spatial-temporal compressive imaging. Simulation and optical experiments demonstrate the network performance using compression ratios of 128: 1 and 16: 1. The mean PSNR of the reconstructed objects is higher than 29dB." @default.
- W4296736612 created "2022-09-23" @default.
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- W4296736612 date "2022-01-01" @default.
- W4296736612 modified "2023-10-01" @default.
- W4296736612 title "Spatial-temporal compressive imaging using an unfolding network" @default.
- W4296736612 cites W4206431952 @default.
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- W4296736612 doi "https://doi.org/10.1364/cosi.2022.cw1b.5" @default.
- W4296736612 hasPublicationYear "2022" @default.
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