A denoising algorithm for terahertz time domain spectrum based on lifting wavelet transform

Gangqiang Cui; Wenyu Peng; Yansheng Liu; Chao Chang

doi:10.1117/12.2524111

10 May 2019 A denoising algorithm for terahertz time domain spectrum based on lifting wavelet transform

Gangqiang Cui, Wenyu Peng, Yansheng Liu, Chao Chang

Proceedings Volume 11068, Second Symposium on Novel Technology of X-Ray Imaging; 1106812 (2019) https://doi.org/10.1117/12.2524111
Event: Second Symposium on Novel Technology of X-Ray Imaging, 2018, Hefei, China

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.

Citation Download Citation

Gangqiang Cui, Wenyu Peng, Yansheng Liu, and Chao Chang "A denoising algorithm for terahertz time domain spectrum based on lifting wavelet transform", Proc. SPIE 11068, Second Symposium on Novel Technology of X-Ray Imaging, 1106812 (10 May 2019); https://doi.org/10.1117/12.2524111

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available