Publications by authors named "Runbo Jiang"

Article Synopsis
  • Traditional autofocusing methods involve handling large image sequences, which slows down the process and increases costs.
  • A new technique proposed uses geometric moments acquired through a single-pixel detector to focus in real-time without needing to store or process many images.
  • This method is faster and more stable against noise, making it ideal for applications in low-light and near-infrared imaging.
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Fourier ptychographic imaging technology is a new imaging method proposed in recent years. This technology captures multiple low-resolution images, and synthesizes them into a high-resolution image in the Fourier domain by a phase retrieval algorithm, breaking through the diffraction limit of the lens. In the field of macroscopic Fourier ptychographic imaging, most of the existing research generally focus on high-resolution imaging of static objects, and applying Fourier ptychographic imaging technology to dynamic objects is a hot research area now.

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Real-time tracking of fast-moving object have many important applications in various fields. However, it is a great challenge to track of fast-moving object with high frame rate in real-time by employing single-pixel imaging technique. In this paper, we present the first single-pixel imaging technique that measures zero-order and first-order geometric moments, which are leveraged to reconstruct and track the centroid of a fast-moving object in real time.

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