mlsanityData to 7 Oct 2026

Unidirectional imaging with partially coherent light

arXiv 2408.05449 ↗First posted 10 Aug 2024physics.optics cs.CV physics.app-phcited by 1

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Abstract (arXiv)

Unidirectional imagers form images of input objects only in one direction, e.g., from field-of-view (FOV) A to FOV B, while blocking the image formation in the reverse direction, from FOV B to FOV A. Here, we report unidirectional imaging under spatially partially coherent light and demonstrate high-quality imaging only in the forward direction (A->B) with high power efficiency while distorting the image formation in the backward direction (B->A) along with low power efficiency. Our reciprocal design features a set of spatially engineered linear diffractive layers that are statistically optimized for partially coherent illumination with a given phase correlation length. Our analyses reveal that when illuminated by a partially coherent beam with a correlation length of ~1.5 w or larger, where w is the wavelength of light, diffractive unidirectional imagers achieve robust performance, exhibiting asymmetric imaging performance between the forward and backward directions - as desired. A partially coherent unidirectional imager designed with a smaller correlation length of less than 1.5 w still supports unidirectional image transmission, but with a reduced figure of merit. These partially coherent diffractive unidirectional imagers are compact (axially spanning less than 75 w), polarization-independent, and compatible with various types of illumination sources, making them well-suited for applications in asymmetric visual information processing and communication.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 9 of its 34 references that are in the map. First posted on arXiv 10 Aug 2024.

Builds on

9 of 34 references.

References · 9

  1. 2018All-Optical Machine Learning Using Diffractive Deep Neural Networkscited by 175
  2. 2018Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networkscited by 30
  3. 2021All-Optical Synthesis of an Arbitrary Linear Transformation Using Diffractive Surfacescited by 24
  4. 2022To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objectscited by 21
  5. 2021Computational Imaging Without a Computer: Seeing Through Random Diffusers at the Speed of Lightcited by 19
  6. 2023Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processorscited by 17
  7. 2022Unidirectional Imaging using Deep Learning-Designed Materialscited by 13
  8. 2023Quantitative phase imaging (QPI) through random diffusers using a diffractive optical networkcited by 10
  9. 2023Pyramid diffractive optical networks for unidirectional image magnification and demagnificationcited by 3

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Citing papers per year: 2024: 1.

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