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

摘要：

　　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.

关键词： noise attenuation denoising Electron tomography BM3D

作者: Yang Xuan Han Remnin Li Yugang

作者单位: Beijing Institute of Technology Beijing,China University of Chinese Academy of Sciences Beijing,China

会议类型: 国际会议

会议名称: 2016IEEE第二届信息技术、网络、电子及自动化控制会议

会议地点: 重庆

会议语种:英文

页码: 1026-1030

在线出版日期: 2016-03-20（万方平台首次上网日期，不代表论文的发表时间）