多光谱图像
高光谱成像
全光谱成像
光谱成像
计算机科学
计算机视觉
数据立方体
探测器
人工智能
遥感
多光谱模式识别
迭代重建
光学
采样(信号处理)
图像处理
光学成像
鬼影成像
成像技术
成像技术
作者
Ziyang Chen,Gang Qu,Zijun He,Lulu Xue,Qiaolong Qian,Hongyan Shi,Weiqiang Ding,Xin Yuan
标识
DOI:10.1002/lpor.202503207
摘要
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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