Chen Yang, Huang Shengyang, Pickwell-MacPherson Emma
Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China.
Opt Express. 2010 Jan 18;18(2):1177-90. doi: 10.1364/OE.18.001177.
In terahertz reflection imaging, a deconvolution process is often employed to extract the impulse function of the sample of interest. A band-pass filter such as a double Gaussian filter is typically incorporated into the inverse filtering to suppress the noise, but this can result in over-smoothing due to the loss of useful information. In this paper, with a view to improving the calculation of terahertz impulse response functions for systems with a low signal to noise ratio, we propose a hybrid Frequency-Wavelet Domain Deconvolution (FWDD) for terahertz reflection imaging. Our approach works well; it retrieves more accurate impulse response functions than existing approaches and these impulse functions can then also be used to better extract the terahertz spectroscopic properties of the sample.
在太赫兹反射成像中，通常采用去卷积过程来提取感兴趣样本的脉冲函数。诸如双高斯滤波器之类的带通滤波器通常被纳入逆滤波中以抑制噪声，但这可能会由于有用信息的丢失而导致过度平滑。在本文中，为了改进低信噪比系统的太赫兹脉冲响应函数的计算，我们提出了一种用于太赫兹反射成像的混合频域-小波域去卷积（FWDD）方法。我们的方法效果良好；它比现有方法能检索到更准确的脉冲响应函数，并且这些脉冲函数随后还可用于更好地提取样本的太赫兹光谱特性。
