Efficient spectral single-pixel imaging via Morton frequency-domain scanning[Invited]

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外文摘要：Single-pixel imaging(SPI]captures two-dimensional images utilizing a sequence of modulation patterns and measurements recorded by a single-pixel detector.However,the sequential measurement of a scene is time-consuming,especially for high-spatial-resolution imaging.Furthermore,for spectral SPI,the enormous data storage and processing time require-ments substantially diminish imaging efficiency.To reduce the required number of patterns,we propose a strategy by optimizing a Hadamard pattern sequence via Morton frequency domain scanning to enhance the quality of a reconstructed spectral cube at low sampling rates.Additionally,we expedite spectral cube reconstruction,eliminating the necessity for a large Hadamard matrix.We demonstrate the effectiveness of our approach through both simulation and experiment,achieving sub-Nyquist sampling of a three-dimensional spectral cube with a spatial resolution of 256 x 256 pixels and 181 spectral bands and a reduction in reconstruction time by four orders of magnitude.Consequently,our method offers an efficient solution for compressed spectral imaging.

外文关键词：

single-pixel imagingspectral imagingoptimized Hadamard basis

作者：

赵梓栋、杨照华、赵志浩、吴令安、余远金

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作者单位：

School of Instrumentation and Optoelectronic Engineering,Beihang University,Beijing 100191,China

Institute of Physics,Chinese Academy of Sciences,Beijing 100190,China

School of Automation,MIIT Key Laboratory of Complex-field Intelligent Sensing,Beijing Institute of Technology,Beijing 100081,China

Yangtze Delta Region Academy of Beijing Institute of Technology,Jiaxing 314019,China

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出版年：

2024

DOI：

10.3788/COL202422.060003

中国光学快报(英文版)

中国光学学会中国科学院上海光学精密机械研究所

中国光学快报(英文版)

CSTPCD

影响因子：1.305

ISSN：1671-7694

年,卷(期)：2024.22(6)