IMPROVING EXTRACTION OF IMPULSE RESPONSE FUNCTIONS USING STATIONARY WAVELET SHRINKAGE IN TERAHERTZ REFLECTION IMAGING

被引：7

作者：

Chen, Yang ^{[1
,2
]}

Sun, Yiwen ^{[3
]}

Pickwell-Macpherson, Emma ^{[3
,4
]}

机构：

[1] Southeast Univ, Lab Image Sci & Technol, Nanjing 210096, Peoples R China

[2] So Med Univ, Sch Biomed Engn, Guangzhou 510515, Guangdong, Peoples R China

[3] Chinese Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China

[4] Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Hong Kong, Hong Kong, Peoples R China

来源：

FLUCTUATION AND NOISE LETTERS | 2010年 / 9卷 / 04期

关键词：

Terahertz reflection spectroscopy; inverse filtering; double Gaussian filter; stationary wavelet shrinkage following inverse filtering (SWSIF) deconvolution; SPECTROSCOPY; RADIATION;

D O I：

10.1142/S0219477510000319

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In terahertz imaging, deconvolution is often performed to extract the impulse response function of the sample of interest. The inverse filtering process amplifies the noise and in this paper we investigate how we can suppress the noise without over-smoothing and losing useful information. We propose a robust deconvolution process utilizing stationary wavelet shrinkage theory which shows significant improvement over other popular methods such as double Gaussian filtering. We demonstrate the success of our approach on experimental data of water and isopropanol.

引用

页码：387 / 394

页数：8