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Adaptive foveated single-pixel imaging with dynamic supersampling.

David B Phillips1, Ming-Jie Sun1,2, Jonathan M Taylor1

  • 1School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, UK.

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|April 26, 2017
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Summary

Single-pixel cameras achieve higher frame rates by mimicking foveated vision. This novel approach adapts resolution and exposure, enhancing dynamic scene imaging and complementing compressive sensing techniques.

Keywords:
adaptive imagingbiomimetic technologycompressive sensingcomputational imagingfoveated imagingsingle-pixel imaging

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Area of Science:

  • Computational imaging
  • Optical engineering
  • Biomimetic systems

Background:

  • Single-pixel cameras use a single detector and pattern correlations for image acquisition.
  • Conventional single-pixel imaging suffers from low frame rates due to extensive sampling requirements.
  • Compressive sensing offers solutions but relies on prior knowledge for image reconstruction.

Purpose of the Study:

  • To develop a novel imaging strategy for single-pixel cameras that overcomes low frame rate limitations.
  • To leverage principles of foveated vision for efficient dynamic scene capture.
  • To enhance the performance of computational imagers using sequential correlation measurements.

Main Methods:

  • Implemented a foveated vision-inspired framework that tracks scene motion with a high-resolution central region.
  • Dynamically varied spatial resolution and exposure time across the field of view based on scene evolution.
  • Achieved frame rate enhancement by exploiting spatiotemporal redundancy in dynamic scenes.

Main Results:

  • Demonstrated a scene-dependent frame rate enhancement factor of up to 4x.
  • Successfully captured rapidly changing scene details while accumulating information in slower regions over time.
  • Generated video streams with adaptive resolution and exposure, improving dynamic scene imaging.

Conclusions:

  • The foveated vision-inspired approach significantly mitigates the low frame rate drawback of single-pixel cameras.
  • This method complements existing compressive sensing techniques for computational imaging.
  • The adaptive spatio-temporal strategy offers a promising direction for advanced imaging systems.