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Photonics Research· 2016Q1

Fast reconstructed and high-quality ghost imaging with fast Walsh–Hadamard transform

Le Wang, Shengmei Zhao

Short summary

A novel ghost imaging scheme, GIFWHT, uses fast Walsh–Hadamard transform to reconstruct images from differential detection results, significantly reducing reconstruction time and improving image quality.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Introduces GIFWHT, a ghost imaging scheme utilizing fast Walsh–Hadamard transform.
  • Reconstructs images from 2k (k is a positive integer) differential detection results.
  • Demonstrates greatly reduced reconstruction time compared to conventional methods.
  • Shows noticeably improved quality of the recovered image.
  • GIFWHT is robust against environmental illumination interference and saves memory.

AI-generated from the title and abstract; the full text is not read.

Abstract

In this paper, we propose a ghost imaging scheme with fast Walsh–Hadamard transform, named GIFWHT. In the scheme, Walsh–Hadamard pattern pairs are used to illuminate an object to generate pairs of detection results, and the corresponding differential detection result is used as the result as that from the conventional bucket detector. By performing the fast Walsh–Hadamard transform on 2k (k is a positive integer) differential detection results, the image of the object can be recovered. The experimental and numerical simulation results show that the reconstruction time of GIFWHT is greatly reduced, and the quality of the recovered image is noticeably improved. In addition, GIFWHT is robust against interference from environmental illumination and could save memory.

The authors' abstract, as published at the source. Photonics Research, 2016 · DOI ↗

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Field: Acoustics and Ultrasonics

Acoustics and UltrasonicsPhysics and Astronomy