@inproceedings{80e8e193098a46159c2a256216bab4ca,
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,
day = "13",
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",
address = "United States",
}