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Frontiers of Optoelectronics

, Volume 11, Issue 3, pp 267–274 | Cite as

De-noising research on terahertz holographic reconstructed image based on weighted nuclear norm minimization method

  • Wenshu Ma
  • Qi LiEmail author
  • Jianye Lu
  • Liyu Sun
Research Article
  • 9 Downloads

Abstract

Terahertz imaging is one of the forefront topics of imaging technology today. Denoising process is the key for improving the resolution of the terahertz holographic reconstructed image. Based on the fact that the weighted nuclear norm minimization (WNNM) method preserves the details of the reconstructed image well and the nonlocal mean (NLM) algorithm performs better in the removal of background noise, this paper proposes a new method in which the NLM algorithm is used to improve the WNNM method. The experimental observation and quantitative analysis of the denoising results prove that the new method has better denoising effect for the terahertz holographic reconstructed image.

Keywords

terahertz digital holography weighted nuclear norm minimization (WNNM) non-local mean (NLM) 

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Notes

Acknowledgements

This work was supported by the National Natural Science Foundation of China (NSFC) (Grant No. 61377110).

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Copyright information

© Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.National Key Laboratory of Science and Technology on Tunable LaserHarbin Institute of TechnologyHarbinChina

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