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An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform

文献类型:期刊论文

作者Chen, Hao1,4; Xu, Weiliang1,4; Broderick, Neil1,5; Han, Jianda2,3
刊名JOURNAL OF RAMAN SPECTROSCOPY
出版日期2018-09-01
卷号49期号:9页码:1529-1539
关键词adaptive denoising lifting wavelet transform noise reduction Raman spectroscopy
ISSN号0377-0486
DOI10.1002/jrs.5399
通讯作者Xu, Weiliang(p.xu@auckland.ac.nz)
英文摘要Noise, especially high-level noise, is a severe problem in Raman spectral analysis. It smears informative Raman peaks, distorts spectral features, and therefore affects final analytical results, particularly in multivariate analysis, which is frequently used in Raman spectroscopy. This becomes even worse when it comes to optical Raman probe-based biological applications due to limited acquisition time, laser power, and collection efficiency. Noise suppression is usually the first step in the preprocessing procedure of Raman spectral analysis. It is crucial to reduce noise effectively before performing further analysis. Discrete wavelet transform is a useful tool for noise reduction. However, it only provides limited and fixed filter banks, which may not be optimal for the data under investigation. In this paper, a novel adaptive denoising method based on lifting wavelet transform is presented for improving the signal-to-noise ratio for a Raman probe-based system. It enables users to develop an infinite number of lifting schemes from a base wavelet, and with the help of genetic algorithm, the optimal one can be easily found. This method is examined by a set of simulated Raman spectra with various noise level and a set of experimental Raman spectra. Performance comparison with other commonly used denoising methods is made. The results indicate that the proposed method is able to remove noise effectively while retaining informative Raman peaks satisfactorily.
WOS研究方向Spectroscopy
语种英语
WOS记录号WOS:000444802200014
出版者WILEY
源URL[http://ir.imr.ac.cn/handle/321006/129548]  
专题金属研究所_中国科学院金属研究所
通讯作者Xu, Weiliang
作者单位1.Dodd Walls Ctr Photon & Quantum Technol, Auckland, New Zealand
2.Nankai Univ, Coll Comp & Control Engn, Tianjin, Peoples R China
3.Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang, Liaoning, Peoples R China
4.Univ Auckland, Dept Mech Engn, Auckland, New Zealand
5.Univ Auckland, Dept Phys, Auckland, New Zealand
推荐引用方式
GB/T 7714
Chen, Hao,Xu, Weiliang,Broderick, Neil,et al. An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform[J]. JOURNAL OF RAMAN SPECTROSCOPY,2018,49(9):1529-1539.
APA Chen, Hao,Xu, Weiliang,Broderick, Neil,&Han, Jianda.(2018).An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform.JOURNAL OF RAMAN SPECTROSCOPY,49(9),1529-1539.
MLA Chen, Hao,et al."An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform".JOURNAL OF RAMAN SPECTROSCOPY 49.9(2018):1529-1539.

入库方式: OAI收割

来源:金属研究所

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