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A denoising algorithm for terahertz time domain spectrum based on lifting wavelet transform
Author(s): Gangqiang Cui; Wenyu Peng; Yansheng Liu; Chao Chang
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Paper Abstract

Terahertz time domain spectroscopy has been widely used in tumor detection, chemical analysis and nondestructive testing. However, the measurement errors of terahertz time domain spectrum frequently occur because of vibration of experiment instrument platform or temperature and humidity changes. Lifting wavelet transform based on different wavelet basis functions was applied to the denoising of terahertz time domain spectrum of PTFE. The denoising results were compared with denoising results of wavelet soft threshold method. The wavelet soft threshold method got a highest signal to noise ratio (SNR) of 58.75 dB and a least root mean square error (RMSE) of 3.56*10^ (-5), while lifting wavelet transform method achieved a highest SNR of 60.69 dB and a least RMSE of 2.85*10^ (-5). These results imply that lifting wavelet transform performs better in terahertz spectrum denoising than wavelet soft threshold.

Paper Details

Date Published: 10 May 2019
PDF: 5 pages
Proc. SPIE 11068, Second Symposium on Novel Technology of X-Ray Imaging, 1106812 (10 May 2019); doi: 10.1117/12.2524111
Show Author Affiliations
Gangqiang Cui, Northwest Institute of Nuclear Technology (China)
Wenyu Peng, Xi’an Jiaotong Univ. (China)
Yansheng Liu, Northwest Institute of Nuclear Technology (China)
Xi'an Jiaotong Univ. (China)
Chao Chang, National Innovation Institute of Defense Technology (China)
Xi'an Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 11068:
Second Symposium on Novel Technology of X-Ray Imaging
Yangchao Tian; Tiqiao Xiao; Peng Liu, Editor(s)

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