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Multispectral imaging using a single bucket detector.

Liheng Bian1, Jinli Suo1, Guohai Situ2

  • 1Department of Automation, Tsinghua University, Beijing 100084, China.

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|April 23, 2016
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Summary
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This study introduces a novel multispectral imaging technique using a single bucket detector, overcoming limitations of traditional array sensors. This cost-effective method enables efficient 3D spatial-spectral data acquisition for diverse applications.

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Area of Science:

  • Optics and Photonics
  • Image Sensing Technologies
  • Computational Imaging

Background:

  • Traditional multispectral imagers rely on array sensors, leading to low photon efficiency, restricted spectral ranges, and high costs.
  • These limitations hinder applications requiring high sensitivity, broad spectral coverage, and affordability.

Purpose of the Study:

  • To develop a cost-effective multispectral imaging approach using a single bucket detector.
  • To overcome the limitations of conventional array-based multispectral imaging systems.

Main Methods:

  • Employed a single bucket detector with a fast response time to multiplex 3D spatial-spectral information into a 1D sequence.
  • Utilized computational demultiplexing within a single pixel imaging framework.
  • Constructed a proof-of-concept setup for capturing multispectral data.

Main Results:

  • Successfully captured 64x64 pixel multispectral data across 10 wavelength bands (450-650 nm) within a 1-minute acquisition time.
  • Demonstrated the feasibility of the single bucket detector approach for multispectral imaging.
  • Highlighted the potential for high sensitivity, wide spectral range, and low-cost implementation.

Conclusions:

  • The proposed single pixel imaging scheme offers a promising alternative to conventional multispectral imagers.
  • This technique holds significant potential for low-light, airborne, and portable multispectral imaging applications.
  • The system is amenable to cost-effective, high-volume manufacturing for portable devices.