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Author
Rafael E. Rivadeneira; Angel Sappa; Boris X. Vintimilla; Riad I. Hammoud
Title
A Novel Domain Transfer-Based Approach for Unsupervised Thermal Image Super-Resolution
Type
Journal Article
Year
2022
Publication
Sensors
Abbreviated Journal
SENS
Volume
22
Issue
6
Pages
2254
Keywords
Thermal image super-resolution; unsupervised super-resolution; thermal images; attention module; semiregistered thermal images
Abstract
This paper presents a transfer domain strategy to tackle the limitations of low-resolution thermal sensors and generate higher-resolution images of reasonable quality. The proposed technique employs a CycleGAN architecture and uses a ResNet as an encoder in the generator along with an attention module and a novel loss function. The network is trained on a multi-resolution thermal image dataset acquired with three different thermal sensors. Results report better performance benchmarking results on the 2nd CVPR-PBVS-2021 thermal image super-resolution challenge than state-of-the-art methods. The code of this work is available online.
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MSIAU;
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no
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Admin @ si @ RSV2022b
Serial
3688
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