Terahertz Image Restoration with 'Zero-Shot' Super-Resolution

Zhongde Han; Weidong Hu; Yade Li; Zhihao Xu; Yunzhang Zhao; Jiaqi Ni; Leo Ligthart

doi:10.1109/CSRSWTC50769.2020.9372649

Terahertz Image Restoration with 'Zero-Shot' Super-Resolution

Zhongde Han, Weidong Hu, Yade Li, Zhihao Xu, Yunzhang Zhao, Jiaqi Ni, Leo Ligthart

School of Integrated Circuits and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

The spatial resolution of terahertz (THz) image is often degraded by many factors during the imaging process. Therefore, a 'Zero-Shot' super-resolution CNN framework, which is trained only by the input image itself, is proposed to cope with those degradation factors. With this unsupervised framework, the restoration level of the CNN can be flexibly adjusted based on the input THz image in order to achieve the best restoration effect. Experimental results on both the simulated data and real tested THz data have proved the effectiveness of our method.

Original language	English
Title of host publication	2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728181813
DOIs	https://doi.org/10.1109/CSRSWTC50769.2020.9372649
Publication status	Published - 13 Dec 2020
Event	2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Fuzhou, Fujian, China Duration: 13 Dec 2020 → 16 Dec 2020

Publication series

Name	2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings

Conference

Conference	2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020
Country/Territory	China
City	Fuzhou, Fujian
Period	13/12/20 → 16/12/20

Keywords

Zero-Shot super-resolution
image restoration
point-spread-function (PSF)
spatial resolution

Access to Document

10.1109/CSRSWTC50769.2020.9372649

Cite this

Han, Z., Hu, W., Li, Y., Xu, Z., Zhao, Y., Ni, J., & Ligthart, L. (2020). Terahertz Image Restoration with 'Zero-Shot' Super-Resolution. In 2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings Article 9372649 (2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSRSWTC50769.2020.9372649

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title = "Terahertz Image Restoration with 'Zero-Shot' Super-Resolution",

abstract = "The spatial resolution of terahertz (THz) image is often degraded by many factors during the imaging process. Therefore, a 'Zero-Shot' super-resolution CNN framework, which is trained only by the input image itself, is proposed to cope with those degradation factors. With this unsupervised framework, the restoration level of the CNN can be flexibly adjusted based on the input THz image in order to achieve the best restoration effect. Experimental results on both the simulated data and real tested THz data have proved the effectiveness of our method.",

keywords = "Zero-Shot super-resolution, image restoration, point-spread-function (PSF), spatial resolution",

author = "Zhongde Han and Weidong Hu and Yade Li and Zhihao Xu and Yunzhang Zhao and Jiaqi Ni and Leo Ligthart",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 ; Conference date: 13-12-2020 Through 16-12-2020",

year = "2020",

month = dec,

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doi = "10.1109/CSRSWTC50769.2020.9372649",

language = "English",

series = "2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings",

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Han, Z, Hu, W, Li, Y, Xu, Z, Zhao, Y, Ni, J & Ligthart, L 2020, Terahertz Image Restoration with 'Zero-Shot' Super-Resolution. in 2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings., 9372649, 2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020, Fuzhou, Fujian, China, 13/12/20. https://doi.org/10.1109/CSRSWTC50769.2020.9372649

Terahertz Image Restoration with 'Zero-Shot' Super-Resolution. / Han, Zhongde; Hu, Weidong; Li, Yade et al.
2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9372649 (2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Terahertz Image Restoration with 'Zero-Shot' Super-Resolution

AU - Han, Zhongde

AU - Hu, Weidong

AU - Li, Yade

AU - Xu, Zhihao

AU - Zhao, Yunzhang

AU - Ni, Jiaqi

AU - Ligthart, Leo

PY - 2020/12/13

Y1 - 2020/12/13

N2 - The spatial resolution of terahertz (THz) image is often degraded by many factors during the imaging process. Therefore, a 'Zero-Shot' super-resolution CNN framework, which is trained only by the input image itself, is proposed to cope with those degradation factors. With this unsupervised framework, the restoration level of the CNN can be flexibly adjusted based on the input THz image in order to achieve the best restoration effect. Experimental results on both the simulated data and real tested THz data have proved the effectiveness of our method.

AB - The spatial resolution of terahertz (THz) image is often degraded by many factors during the imaging process. Therefore, a 'Zero-Shot' super-resolution CNN framework, which is trained only by the input image itself, is proposed to cope with those degradation factors. With this unsupervised framework, the restoration level of the CNN can be flexibly adjusted based on the input THz image in order to achieve the best restoration effect. Experimental results on both the simulated data and real tested THz data have proved the effectiveness of our method.

KW - Zero-Shot super-resolution

KW - image restoration

KW - point-spread-function (PSF)

KW - spatial resolution

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U2 - 10.1109/CSRSWTC50769.2020.9372649

DO - 10.1109/CSRSWTC50769.2020.9372649

M3 - Conference contribution

AN - SCOPUS:85103220000

T3 - 2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings

BT - 2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020

Y2 - 13 December 2020 through 16 December 2020

ER -

Han Z, Hu W, Li Y, Xu Z, Zhao Y, Ni J et al. Terahertz Image Restoration with 'Zero-Shot' Super-Resolution. In 2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9372649. (2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings). doi: 10.1109/CSRSWTC50769.2020.9372649

Terahertz Image Restoration with 'Zero-Shot' Super-Resolution

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Keywords

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