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Scaled transverse translation by planar optical elements for sub-pixel sampling and remote super-resolution imaging.

Qi Zhang1,2,3,4, Xin Xu1,2,3,4, Yinghui Guo1,2,3,4,5

  • 1State Key Laboratory of Optical Technologies on Nano-Fabrication and Micro-Engineering, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China.

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Summary

Researchers developed a new method for high-resolution imaging using scaled transverse translation (STT) with planar optical elements (POEs). This technique enables precise sub-pixel sampling for remote super-resolution imaging, enhancing image quality and resolution.

Keywords:
fourier ptychography imagingplanar optical elementquadratic-phase metasurfacesub-pixel samplingsuper-resolution imaging

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Area of Science:

  • Optics and Photonics
  • Image Processing
  • Materials Science

Background:

  • High-resolution imaging is crucial in optical systems.
  • Multi-frame super-resolution (SR) enhances sampling density but requires bulky camera movement.
  • Sub-pixel sampling is key for improving imaging resolution.

Purpose of the Study:

  • To introduce a novel method for remote super-resolution imaging using planar optical elements.
  • To enable precise sub-pixel sampling without large camera displacements.
  • To demonstrate the effectiveness of scaled transverse translation (STT) for enhancing imaging capabilities.

Main Methods:

  • Utilizing the symmetric transformation of quadratic-phase metasurfaces.
  • Developing a scaled transverse translation (STT) module with a pair of planar optical elements (POEs).
  • Experimentally verifying the STT module's performance through millimeter-level displacement and sub-micron accuracy.

Main Results:

  • Achieved sub-micron imaging shift accuracy via millimeter-level POE displacement.
  • Demonstrated significant compatibility and effectiveness in SR and SR-enhanced Fourier ptychography (FP) imaging.
  • Increased resolution in FP imaging from 2× to 2.8× through sub-pixel sampling.
  • Obtained defect reduction and contrast enhancement in imaging.

Conclusions:

  • The proposed STT method using POEs is effective for sub-pixel sampling and remote super-resolution imaging.
  • This technique offers advantages such as light-weight design, simple structure, and ease of implementation.
  • The method holds considerable potential for diverse imaging applications requiring high resolution and improved image quality.