A CNN unmixing method recovers light intensity from overlapped dispersive spectra to enable a single-path sub-Hadamard snapshot spectrometer with higher throughput and SNR than prior dual-path designs.
ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Se gmentation,
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High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing
A CNN unmixing method recovers light intensity from overlapped dispersive spectra to enable a single-path sub-Hadamard snapshot spectrometer with higher throughput and SNR than prior dual-path designs.