An adaptive 3-D collaborative filter for denoising of electron tomography

Yang Xuan, Han Renmin, Li Yugang

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

1 Citation (Scopus)

Abstract

In electron tomography, noise attenuation is critical for high-resolution structural analysis. Though numerous denoising methods have been introduced into electron tomography (ET) scope, attenuating noise as well as preserving signal details remains a challenge. Here, we propose an adaptive 3-D transform-Domain collaborative filtering (A3DTCF) for denoising of ET data. The most basic idea of this filter is that it combines the non-local paradigm with the multiscale analysis in sparse signal representation. The application of this filter produces encouraging results for a number of test data and shows its advantage in strengthen structural signal while attenuating the background noise.

Original languageEnglish
Title of host publicationProceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1026-1030
Number of pages5
ISBN (Electronic)9781467391924
DOIs
Publication statusPublished - 2 Sept 2016
Event2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016 - Chongqing, China
Duration: 20 May 201622 May 2016

Publication series

NameProceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016

Conference

Conference2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016
Country/TerritoryChina
CityChongqing
Period20/05/1622/05/16

Keywords

  • BM3D
  • Electron tomography
  • denoising
  • noise attenuation

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