Sub-Rayleigh second-order correlation imaging using spatially distributive colored noise speckle patterns

Abstract

We present a novel method, to our knowledge, to synthesize non-trivial speckle patterns that can enable sub-Rayleigh second-order correlation imaging. The speckle patterns acquire a unique anti-correlation in the spatial intensity fluctuation by introducing the blue noise distribution on spatial Fourier power spectrum to the input light fields through amplitude modulation. Illuminating objects with the blue noise speckle patterns can lead to a sub-diffraction limit imaging system with a resolution more than three times higher than first-order imaging, which is comparable to the resolving power of ninth order correlation imaging with thermal light. Our method opens a new route towards non-trivial speckle pattern generation by tailoring amplitudes in spatial Fourier power spectrum of the input light fields and provides a versatile scheme for constructing sub-Rayleigh imaging and microscopy systems without invoking complicated higher-order correlations.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 09, 2021
Source ID
10.1364/oe.424284

Entities

People

  • Dongyu Liu
  • Fan Yang
  • M. Suhail Zubairy
  • Marlan Scully
  • Tao Peng
  • Xiangpei Liu
  • Xiaolong Dong
  • Xiaoyu Nie
  • Xingchen Zhao
  • Zheng Li

Organizations

  • Air Force Office of Scientific Research
  • Baylor University
  • National Science Foundation
  • Office of Naval Research
  • Peking University
  • Princeton University
  • Qatar National Research Fund
  • Robert A. Welch Foundation
  • Texas A&M University
  • University of Science and Technology of China
  • Xi'an Jiaotong University

Tags

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Nanoscale Plasmonic Nanotechnology
  • Statistical inference.