Hyperspectral data denoising for terahertz pulse time-domain holography

被引：18
|
作者：
Kulya, Maksim [1 ,2 ]
Petrov, Nikolay, V [1 ]
Tsypkin, Anton [1 ]
Egiazarian, Karen [2 ]
Katkovnik, Vladimir [2 ]
机构：
[1] ITMO Univ, Digital & Display Holog Lab, St Petersburg 197101, Russia
[2] Tampere Univ, Fac Informat Technol & Commun, Tampere, Finland
来源：
OPTICS EXPRESS | 2019年 / 27卷 / 13期
基金：
俄罗斯基础研究基金会; 芬兰科学院;
关键词：
DIGITAL HOLOGRAPHY; GENERATION; RESOLUTION; RADIATION; METROLOGY; IMAGE; FIELD; BEAM; RECONSTRUCTION; SPECTROSCOPY;
D O I：
10.1364/OE.27.018456
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
We investigated data denoising in hyperspectral terahertz pulse time-domain holography. Using the block-matching algorithms adapted for spatio-temporal and spatio-spectral volumetric data we studied and optimized parameters of these algorithms to improve phase image reconstruction quality. We propose a sequential application of the two algorithms oriented on work in temporal and spectral domains. Experimental data demonstrate the improvement in the quality of the resultant time-domain images as well as phase images and object's relief. The simulation results are proved by comparison with the experimental ones. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
引用
收藏
页码：18456 / 18476
页数：21
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