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The influence of detector defocus in multi-pixels sensor based computational ghost imaging

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Single-pixle detector based computational ghost imaging (CGI) reconstructs an image by measuring the correlations between the scene and a series of masks. Recently, multi-pixels detector and parallel encoding is used to reduce modulation times and improve imaging speed. Due to the separate characteristics of encoding and detection in CGI system, detector defocus will not lead to image blurring in this single-pixel detector based CGI. However, detector defocus in multi-pixels detector based CGI is different to single-pixle detector based system. In this paper, based on the principle of CGI and the model of detector defocus, the influence of detector defocus in CGI is theoretically analyzed. Simulation and experiment results indicate that the multi-pixels detector based CGI inherits characteristics of antidefocus. The quality of reconstructed image is mainly affected by the degree of defocus and the array size of the detector.

Original languageEnglish
Title of host publicationAOPC 2021
Subtitle of host publicationOptical Sensing and Imaging Technology
EditorsYadong Jiang, Qunbo Lv, Dong Liu, Dengwei Zhang, Bin Xue
PublisherSPIE
ISBN (Electronic)9781510650053
DOIs
StatePublished - 2021
Event2021 Applied Optics and Photonics China: Optical Sensing and Imaging Technology, AOPC 2021 - Beijing, China
Duration: 20 Jun 202122 Jun 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12065
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2021 Applied Optics and Photonics China: Optical Sensing and Imaging Technology, AOPC 2021
Country/TerritoryChina
CityBeijing
Period20/06/2122/06/21

Keywords

  • Computational ghost imaging
  • detector defocus
  • image quality
  • multi-pixels detector
  • parallel encoding

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