Imaging through scattering media via spatial–temporal encoded pattern illumination

Abstract

Optical imaging through scattering media has long been a challenge. Many approaches have been developed for focusing light or imaging objects through scattering media, but usually, they are either invasive, limited to stationary or slow-moving media, or require high-resolution cameras and complex algorithms to retrieve the images. By utilizing spatial–temporal encoded patterns (STEPs), we introduce a technique for the computation of imaging that overcomes these restrictions. With a single-pixel photodetector, we demonstrate non-invasive imaging through scattering media. This technique is insensitive to the motion of the media. Furthermore, we demonstrate that our image reconstruction algorithm is much more efficient than correlation-based algorithms for single-pixel imaging, which may allow fast imaging for applications with limited computing resources.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 30, 2022
Source ID
10.1364/prj.456156

Entities

People

  • Marlan Scully
  • Tao Peng
  • Xiaoyu Nie
  • Xingchen Zhao
  • Zhenhuan Yi

Organizations

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

Tags

Fields of Study

  • Computer science
  • Physics

Readers

  • Computer Vision.
  • Optical Physics and Photonics.