title: Frequency-Wavelet Domain Deconvolution for terahertz reflection imaging and spectroscopy.
abstract: 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.
authors.affiliation: Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Chen
authors.forename: Shengyang
authors.initials: S
authors.lastname: Huang
authors.forename: Emma
authors.initials: E
authors.lastname: Pickwell-MacPherson
mesh_terms: D000465:Algorithms; D019544:Equipment Failure Analysis; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D055069:Terahertz Imaging / Q000379:methods*; D055068:Terahertz Spectroscopy / Q000379:methods*