Broadband Near-Infrared Compressive Spectral Imaging System with Reflective Structure

2025/08/20 by Yutong Li, Li, Yutong, Zhenming Yu +17
Engineering · Medicine · #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Optical Imaging and Spectroscopy Techniques #Optical Polarization and Ellipsometry #Optical Systems and Laser Technology #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2508.14573

openalex publication_date 2025/08/20 · openalex created_date 2025/10/16 · openalex updated_date 2026/07/28

Abstract

Near-infrared (NIR) hyperspectral imaging has become a critical tool in modern analytical science. However, conventional NIR hyperspectral imaging systems face challenges including high cost, bulky instrumentation, and inefficient data collection. In this work, we demonstrate a broadband NIR compressive spectral imaging system that is capable of capturing hyperspectral data covering a broad spectral bandwidth ranging from 700 to 1600 nm. By segmenting wavelengths and designing specialized optical components, our design overcomes hardware spectral limitations to capture broadband data, while the reflective optical structure makes the system compact. This approach provides a novel technical solution for NIR hyperspectral imaging.

Citations

• Deep-learning-based on-chip rapid spectral imaging with high spatial resolution
• Generalized Alternating Projection Based Total Variation Minimization for Compressive Sensing

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