High-SNR snapshot multiplex spectrometer with sub-Hadamard-S matrix coding

Zhao, Zhuang; Bai, Lianfa; Han, Jing; Yue, Jiang

doi:10.1016/j.optcom.2019.124322

Cited by 4 publications

(6 citation statements)

References 20 publications

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“…( 2) (dB). Thus, we compared the slit-based spectrometer, the Sub-s HTS [19] and the proposed net-based HTS through simulation and show the results in Figure 8. The results show that the proposed net-based HTS can achieve higher SNR results on the premise of reducing an optical path while maintaining snapshot.…”

Section: Experiments and Simulationsmentioning

confidence: 99%

“…According to the theoretical deduction, the SNR decline is 10log(2) (dB). Thus, we compared the slit-based spectrometer, the Sub-s HTS [19] and the proposed net-based HTS through simulation and show the results in Figure 8. As shown in Figure 7, it can be seen that the proposed method can still reconstruct the light intensity well.…”

Section: Experiments and Simulationsmentioning

confidence: 99%

“…In our previous work [ 19 ], we proposed a dual-path snapshot Hadamard transform spectrometer. The implementation and scheme of the snapshot spectrometer are shown in Figure 1 a,b, respectively.…”

Section: Design Of Snapshot Spectrum Detection Frameworkmentioning

confidence: 99%

“…Compared to multiplexing methods, these numerical methods belong to so-called ill-posed inverse problems and cannot obtain certain and robust SNR improvement. In our previous work [ 19 ], we proposed a dual-path sub-Hadamard-s snapshot Hadamard transform spectrometer (Sub-s HTS) based on the Hadamard transform spectrometer (HTS) [ 20 , 21 ]. In this Sub-s HTS, all incident light is encoded simultaneously by the encoding matrix, and an extra imaging path is designed to measure the intensity distribution of the scene.…”

Section: Introductionmentioning

confidence: 99%

“…However, there are some problems in our previous work [ 19 ]. Firstly, the simultaneous acquisition of light intensity and dispersion image requires a dual optical path system, which will reduce the overall light throughput by half and decrease the SNR.…”

Section: Introductionmentioning

confidence: 99%

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High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing

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et al. 2020

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Spectral detection provides rich spectral–temporal information with wide applications. In our previous work, we proposed a dual-path sub-Hadamard-s snapshot Hadamard transform spectrometer (Sub-s HTS). In order to reduce the complexity of the system and improve its performance, we present a convolution neural network-based method to recover the light intensity distribution from the overlapped dispersive spectra, rather than adding an extra light path to capture it directly. In this paper, we construct a network-based single-path snapshot Hadamard transform spectrometer (net-based HTS). First, we designed a light intensity recovery neural network (LIRNet) with an unmixing module (UM) and an enhanced module (EM) to recover the light intensity from the dispersive image. Then, we used the reconstructed light intensity as the original light intensity to recover high signal-to-noise ratio spectra successfully. Compared with Sub-s HTS, the net-based HTS has a more compact structure and high sensitivity. A large number of simulations and experimental results have demonstrated that the proposed net-based HTS can obtain a better-reconstructed signal-to-noise ratio spectrum than the Sub-s HTS because of its higher light throughput.

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Section: Experiments and Simulationsmentioning

confidence: 99%

Section: Experiments and Simulationsmentioning

confidence: 99%

Section: Design Of Snapshot Spectrum Detection Frameworkmentioning

confidence: 99%