Single‐Pixel Multispectral Imaging With Customized Pixelated Spectral Mask Plate

ABSTRACT Single‐pixel imaging (SPI) has emerged as a cutting‐edge computational technique, offering distinct advantages over conventional methods, particularly in non‐visible wavelengths. This study introduces a compact and low‐cost single‐pixel multispectral imaging (SP‐MSI) system that utilizes a customized pixelated spectral mask plate (PSMP) for efficient spectral modulation. By employing pre‐calibrated multispectral patterns, our method enables the reconstruction of a 3D datacube (x, y, λ) at sampling ratios below 30%. This is achieved through a custom‐designed deep unfolding network (DUN) for image reconstruction. We validate the performance of our system through comprehensive theoretical analysis and experimental demonstrations across eight spectral bands. The proposed approach presents a promising solution for developing efficient and compact multispectral and hyperspectral imaging systems, compatible with both single‐pixel detectors and conventional 2D sensors.

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Publication Details

Journal
Laser & Photonics Review
Published
2026-01-21
DOI
https://doi.org/10.1002/lpor.202503207
Primary Topic
Random lasers and scattering media
Type
article
Field-Weighted Citation Impact
0.00

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article

Single‐Pixel Multispectral Imaging With Customized Pixelated Spectral Mask Plate

Gang Qu, Qiaolong Qian, Lulu Xue, Xin Yuan et al.
Laser & Photonics Review
Random lasers and scattering media
article

Single‐Pixel Multispectral Imaging With Customized Pixelated Spectral Mask Plate

Gang Qu, Qiaolong Qian, Lulu Xue, Xin Yuan, Weiqiang Ding, Ziyang Chen, Zijun He
article en

Abstract

ABSTRACT Single‐pixel imaging (SPI) has emerged as a cutting‐edge computational technique, offering distinct advantages over conventional methods, particularly in non‐visible wavelengths. This study introduces a compact and low‐cost single‐pixel multispectral imaging (SP‐MSI) system that utilizes a customized pixelated spectral mask plate (PSMP) for efficient spectral modulation. By employing pre‐calibrated multispectral patterns, our method enables the reconstruction of a 3D datacube (x, y, λ) at sampling ratios below 30%. This is achieved through a custom‐designed deep unfolding network (DUN) for image reconstruction. We validate the performance of our system through comprehensive theoretical analysis and experimental demonstrations across eight spectral bands. The proposed approach presents a promising solution for developing efficient and compact multispectral and hyperspectral imaging systems, compatible with both single‐pixel detectors and conventional 2D sensors.

Laser & Photonics Review
Harbin Institute of Technology (CN), Westlake University (CN), Zhejiang Lab (CN), Heilongjiang Institute of Technology (CN), Yangzhou University (CN)
National Natural Science Foundation of China, Scientific Research Foundation of Hunan Provincial Education Department, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Industry, innovation and infrastructure
Openalex Percentile: Top 74%
Random lasers and scattering media
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Single‐Pixel Multispectral Imaging With Customized Pixelated Spectral Mask Plate — Gang Qu, Qiaolong Qian, et al. · Laser & Photonics Review (2026) | TGRS Research Map | TGRS