Micro-scanning x-ray imaging system super-resolution reconstruction algorithm

Mei Jing Gao, Ming Yang, Zhen Long Zu, Jie Xu, Wei Xu

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

Abstract

To improve the spatial resolution of X-ray imaging systems, optical micro-scanning technology was taken into the existing system and the optical micro-scanning X-ray imaging systems is obtained. We can get a low-resolution X-ray image sequence by this system and then reconstruct high-resolution X-ray image. The inaccurate estimates of registration parameters, the inaccurate estimates of the point spread function and the additive Gaussian noise in the lowresolution (LR) image sequence will result in different noise level for each frame and influence the effects of reconstruction. This paper proposed an image super-resolution algorithm for different error levels Per frame, the LR frames are adaptively weighted according to their reliability and the regularization parameter. And then we complete the super-resolution reconstruction. The simulation and experiment results shows the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationFourth Seminar on Novel Optoelectronic Detection Technology and Application
EditorsGuofan Jin, Guangjun Zhang
PublisherSPIE
ISBN (Electronic)9781510619470
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event4th Seminar on Novel Optoelectronic Detection Technology and Application 2018 - Nanjing, China
Duration: 24 Oct 201726 Oct 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10697
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference4th Seminar on Novel Optoelectronic Detection Technology and Application 2018
Country/TerritoryChina
CityNanjing
Period24/10/1726/10/17

Keywords

  • Adaptively weighted
  • Micro-scanning
  • Regularization
  • Super-resolution
  • X-ray imaging system

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