An Introduction to Computational Ghost Imaging with Example Code

Abstract

Ghost imaging (GI) is a novel technique where an object is indirectly imaged using a bucket detector to collect light reflected from or transmitted through an object. This is particularly useful in harsh environments where traditional imaging will fail. This report introduces and compares a number of GI techniques, including traditional GI, computational GI and its variants, structured illumination, and denoising. In addition, compressive sensing reconstruction is presented and compared with GI. Example MATLAB code is provided to reproduce many of the reports simulations.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2019
Accession Number
AD1088257

Entities

People

  • Michael Don

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Central Processing Units
  • Compressed Sensing
  • Compression
  • Detectors
  • Electrical Engineering
  • Frequency
  • High Resolution
  • Image Processing
  • Image Reconstruction
  • Military Research
  • Optical Modulators
  • Signal Processing
  • Simulations
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Image Processing and Computer Vision.