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All-optical geometric image transformations enabled by ultrathin metasurfaces.

Xingwang Zhang1, Xiaojie Zhang1, Yao Duan1

  • 1Department of Electrical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.

Nature Communications
|December 15, 2023
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We developed ultra-compact metasurfaces for all-optical geometric image transformations. This technology enables efficient scale- and rotation-invariant image preprocessing for artificial visual systems.

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Area of Science:

  • Optics and Photonics
  • Artificial Intelligence
  • Image Processing

Background:

  • Optical analog image processing offers parallel processing and low power consumption, crucial for artificial visual systems.
  • Geometric image transformations are essential for correcting distortions, creating effects, and image morphing.

Purpose of the Study:

  • To present ultra-compact metasurfaces capable of all-optical geometric image transformations.
  • To demonstrate the application of these metasurfaces for binary and grayscale image manipulations.

Main Methods:

  • Fabrication and characterization of ultra-compact metasurfaces.
  • All-optical implementation of geometric image transformations, including Cartesian to log-polar coordinate conversion.
  • Demonstration of binary and grayscale image transformations.

Main Results:

  • Metasurfaces successfully performed all-optical geometric image transformations.
  • Binary images were converted to log-polar coordinates, enabling scale- and rotation-invariant preprocessing.
  • Grayscale images were transformed from Gaussian to flat-top intensity profiles.

Conclusions:

  • The developed metasurfaces offer a powerful platform for advanced optical image processing.
  • This technique has potential applications in target tracking, laser manufacturing, and biomedical imaging.