Deconvolution technique for THZ characterization of painting layers
Deconvolution technique for THZ characterization of painting layers
- Author(s): I. Cacciari ; D. Ciofini ; S. Siano
- DOI: 10.1049/cp.2017.0207
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- Author(s): I. Cacciari ; D. Ciofini ; S. Siano Source: 19th Italian National Conference on Photonic Technologies (Fotonica 2017), 2017 page ()
- Conference: 19th Italian National Conference on Photonic Technologies (Fotonica 2017)
- DOI: 10.1049/cp.2017.0207
- ISBN: 978-1-78561-757-7
- Location: Padua, Italy
- Conference date: 3-5 May 2017
- Format: PDF
Deconvolution based on Fourier transform is routinely used in a variety of numerical processing: one of these is the removal of noise from signals (f.i. image blurring), echoes in longdistance telephone communications, the finite bandwidth of electronics and analog sensors, etc.. Here, such an approach has been exploited for noise removal from THz reflected signals using the Wiener filter in the frequency domain. The quality of the deconvolution using simulation data set has been investigated then the method was extended to the processing of experimental data. In particular, the thickness of the overpaint layer of a 14th century frame has been determined using the proposed deconvolution and a good agreement with standard microprofilometry was achieved.
Inspec keywords: image restoration; image filtering; terahertz wave imaging; Fourier transforms; image denoising; Wiener filters; deconvolution; frequency-domain analysis
Subjects: Mathematical analysis; Integral transforms; Optical, image and video signal processing; Filtering methods in signal processing; Microwave measurement techniques; Mathematical analysis; Integral transforms; Computer vision and image processing techniques
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