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De-noising research on terahertz holographic reconstructed image based on weighted nuclear norm minimization and connected domains

  • Wenshu Ma
  • , Qi Li*
  • , Yutong Wang
  • , Jianye Lu
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

The terahertz Gabor inline holographic reconstructed images have the characteristics of large backgrounds and small targets, which are different from the standard images of conventional research. Thus, we carried out the connected area disposal method before the Weighted Nuclear Norm Minimization (WNNM) in this paper. Connected area disposal can split the image into multiple independent regions to denoise the large background. The WNNM denoising method can preserve the details of the targets well. The numerical analysis and experimental researches of the denoising results proved that the proposed method in this paper can get a better denoising effect than WNNM algorithm alone.

Original languageEnglish
Title of host publicationSixth International Conference on Optical and Photonic Engineering, icOPEN 2018
EditorsChao Zuo, Yingjie Yu, Kemao Qian
PublisherSPIE
ISBN (Electronic)9781510622562
DOIs
StatePublished - 2018
Event6th International Conference on Optical and Photonic Engineering, icOPEN 2018 - Shanghai, China
Duration: 8 May 201811 May 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10827
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference6th International Conference on Optical and Photonic Engineering, icOPEN 2018
Country/TerritoryChina
CityShanghai
Period8/05/1811/05/18

Keywords

  • Connected Area Disposal
  • Image denoising
  • Terahertz Gabor inline holography
  • Weighted Nuclear Norm Minimization (WNNM)

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