@inproceedings{fe830a513f7c4e1fad3379609fdc64da,
title = "An adaptive 3-D collaborative filter for denoising of electron tomography",
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.",
keywords = "BM3D, Electron tomography, denoising, noise attenuation",
author = "Yang Xuan and Han Renmin and Li Yugang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016 ; Conference date: 20-05-2016 Through 22-05-2016",
year = "2016",
month = sep,
day = "2",
doi = "10.1109/ITNEC.2016.7560519",
language = "English",
series = "Proceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1026--1030",
editor = "Bing Xu",
booktitle = "Proceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016",
address = "United States",
}