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Convolutional Neural Network based denoising method for rapid THz Imaging
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Li, Kaidi, Stantchev, Rayko Ivanov and Pickwell-MacPherson, Emma (2021) Convolutional Neural Network based denoising method for rapid THz Imaging. In: 46th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz), Chengdu, China, 29 Aug - 03 Sept 2021. Published in: Proceedings of the International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz) ISBN 9781728194257. doi:10.1109/IRMMW-THz50926.2021.9567611 ISSN 2162-2035.
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WRAP-Convolutional-Neural-Network-based-denoising-method-for-rapid-THz-Imaging-MacPherson-2021.pdf - Accepted Version - Requires a PDF viewer. Download (182Kb) | Preview |
Official URL: http://doi.org/10.1109/IRMMW-THz50926.2021.9567611
Abstract
We propose our own convolutional neural network (CNN) structure as a post-processing method for the rapid THz Imaging in Terahertz Time Domain Spectroscopy(THz-TDS). The experiment results show that our approach can greatly reduce the noise and artifacts in the collected under-sampled THz images, which in turn benefits the rapid THz imaging technique by allowing higher acquisition rates. In our setup, 5 times higher acquisition rates can be realized. Moreover, this approach needs no extra hardware cost, and since the training has been done offline, the processing time in practice can be ignored. To the best of our knowledge, this is the first time applying deep learning(DL) methods into rapid THz imaging technique, which would inspire researchers to explore more DL based applications and technologies for THz technique development.
| Item Type: | Conference Item (Paper) | |||||||||
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | |||||||||
| Journal or Publication Title: | Proceedings of the International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz) | |||||||||
| Publisher: | IEEE | |||||||||
| ISBN: | 9781728194257 | |||||||||
| ISSN: | 2162-2035 | |||||||||
| Official Date: | May 2021 | |||||||||
| Dates: |
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| DOI: | 10.1109/IRMMW-THz50926.2021.9567611 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Reuse Statement (publisher, data, author rights): | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||
| Copyright Holders: | IEEE | |||||||||
| Date of first compliant deposit: | 12 April 2022 | |||||||||
| Date of first compliant Open Access: | 12 April 2022 | |||||||||
| RIOXX Funder/Project Grant: |
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| Is Part Of: | 1 | |||||||||
| Conference Paper Type: | Paper | |||||||||
| Title of Event: | 46th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz) | |||||||||
| Type of Event: | Conference | |||||||||
| Location of Event: | Chengdu, China | |||||||||
| Date(s) of Event: | 29 Aug - 03 Sept 2021 |
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