Open AccessFrequency-wavelet domain deconvolution for terahertz reflection imaging and spectroscopy
Author(s) -
Yang Chen,
Sheng-Yang Huang,
Emma PickwellMacPherson
Publication year - 2010
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.18.001177
Subject(s) - deconvolution , terahertz radiation , impulse response , optics , wavelet , blind deconvolution , inverse filter , terahertz spectroscopy and technology , smoothing , reflection (computer programming) , point spread function , impulse (physics) , computer science , physics , inverse , mathematics , artificial intelligence , computer vision , mathematical analysis , programming language , geometry , quantum mechanics
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.