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Terahertz nondestructive stratigraphic reconstruction of paper stacks based on adaptive sparse deconvolution

Authors :
Zhai M.
Locquet A.
Citrin D.S.
Source :
Journal of the European Optical Society-Rapid Publications, Vol 20, Iss 1, p 4 (2024)
Publication Year :
2024
Publisher :
EDP Sciences, 2024.

Abstract

Characterizing the number of sheets in a stack of paper typically involves mechanical separation of the individual sheets. Here, we explore an nondestructive method that can be applied to the intact paper stack. Namely, terahertz time-of-flight tomography, together with post signal-processing technique sparse deconvolution based on a two-step iterative shrinkage-thresholding algorithm (SD/TWIST), is employed to reconstruct the stratigraphy of stacks of sheets of paper with multilayered structure in a nondestructive and noncontact manner. The double-Gaussian mixture model (DGMM) is also incorporated to suppress dispersion in the reflected THz echoes. The effectiveness and accuracy of the proposed adaptive sparse-deconvolution method are verified experimentally and numerically. Compared with the commonly used frequency wavelet-domain deconvolution (FWDD) method and previous implementations of sparse deconvolution based on an iterative-shrinkage and thresholding algorithm (SD/IST), the proposed sparse-deconvolution approach can provide a clearer and rapid stratigraphic reconstruction of the paper stacks studied, while ensuring accurate thickness information for each paper sheet in the presence of noise, revealing the potential usage of real-time THz tomographic-image processing.

Details

Language :
English
ISSN :
19902573
Volume :
20
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of the European Optical Society-Rapid Publications
Publication Type :
Academic Journal
Accession number :
edsdoj.7e3125540dab4ca5be6d8819660c9484
Document Type :
article
Full Text :
https://doi.org/10.1051/jeos/2024001