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

作　　者：Zi-Dong Zhao Zhao-Hua Yang Zhi-Hao Zhao Ling-An Wu Yuan-Jin Yu 赵梓栋;杨照华;赵志浩;吴令安;余远金(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)

机构地区：[1]School of Instrumentation and Optoelectronic Engineering,Beihang University,Beijing 100191,China [2]Institute of Physics,Chinese Academy of Sciences,Beijing 100190,China [3]School of Automation,MIIT Key Laboratory of Complex-field Intelligent Sensing,Beijing Institute of Technology,Beijing 100081,China [4]Yangtze Delta Region Academy of Beijing Institute of Technology,Jiaxing 314019,China

出　　处：《Chinese Optics Letters》2024年第6期8-14,共7页中国光学快报（英文版）

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 requirements 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 256×256 pixels and181 spectral bands and a reduction in reconstruction time by four orders of magnitude. Consequently, our method offers an efficient solution for compressed spectral imaging.

关 键 词：single-pixel imaging spectral imaging optimized Hadamard basis 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] O439[自动化与计算机技术—计算机科学与技术]