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<p>Long-range imaging in the Mid-wave infrared (MWIR) is crucial for defense, industrial and environmental applications, requiring very large aperture (~100-1000 mm) lenses for high-resolution imaging. Glass-based refractive optics make such systems bulky and expensive. Metalenses are lightweight alternatives but face fabrication limits at large apertures. We proposed a computational imaging strategy, the Golay metalens, combining (<b>a</b>) a small aperture array in designed spatial configuration and (<b>b</b>) a reconstruction algorithm that recover high-resolution, high-contrast images as though obtained by a single large aperture lens. The design is inherently scalable to larger apertures. A prototype in 89 mm diameter, 356 mm focal length was demonstrated, achieving near diffraction-limited performance enhanced by an image reconstruction algorithm with neural network-based denoising. A large recursive Golay metalens was further designed, demonstrating improved spatial resolution in simulations. Our development represents a significant step toward practical, high-performance MWIR imaging systems that are both scalable and accessible.</p>

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A golay metalens for long-range, large aperture, thermal imaging via sparse aperture computational imaging

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月21日

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  • Jing Wang,
  • Anna Wirth-Singh,
  • Vishwanath Saragadam,
  • Rose Johnson,
  • Arka Majumdar,
  • Ashok Veeraraghavan

摘要

Long-range imaging in the Mid-wave infrared (MWIR) is crucial for defense, industrial and environmental applications, requiring very large aperture (~100-1000 mm) lenses for high-resolution imaging. Glass-based refractive optics make such systems bulky and expensive. Metalenses are lightweight alternatives but face fabrication limits at large apertures. We proposed a computational imaging strategy, the Golay metalens, combining (a) a small aperture array in designed spatial configuration and (b) a reconstruction algorithm that recover high-resolution, high-contrast images as though obtained by a single large aperture lens. The design is inherently scalable to larger apertures. A prototype in 89 mm diameter, 356 mm focal length was demonstrated, achieving near diffraction-limited performance enhanced by an image reconstruction algorithm with neural network-based denoising. A large recursive Golay metalens was further designed, demonstrating improved spatial resolution in simulations. Our development represents a significant step toward practical, high-performance MWIR imaging systems that are both scalable and accessible.