[2212.12322] Infrared Image Super-Resolution: Systematic Review, and Future Trends
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Electrical Engineering and Systems Science > Image and Video Processing

arXiv:2212.12322 (eess)
[Submitted on 22 Dec 2022 (v1), last revised 10 Jan 2025 (this version, v3)]

Title:Infrared Image Super-Resolution: Systematic Review, and Future Trends

Authors:Yongsong Huang, Tomo Miyazaki, Xiaofeng Liu, Shinichiro Omachi
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Abstract:Image Super-Resolution (SR) is essential for a wide range of computer vision and image processing tasks. Investigating infrared (IR) image (or thermal images) super-resolution is a continuing concern within the development of deep learning. This survey aims to provide a comprehensive perspective of IR image super-resolution, including its applications, hardware imaging system dilemmas, and taxonomy of image processing methodologies. In addition, the datasets and evaluation metrics in IR image super-resolution tasks are also discussed. Furthermore, the deficiencies in current technologies and possible promising directions for the community to explore are highlighted. To cope with the rapid development in this field, we intend to regularly update the relevant excellent work at \url{this https URL
Comments: This work has been submitted to the IEEE for possible publication
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
Cite as: arXiv:2212.12322 [eess.IV]
  (or arXiv:2212.12322v3 [eess.IV] for this version)
  https://doi.org/10.48550/arXiv.2212.12322

Submission history

From: Yongsong Huang [view email]
[v1] Thu, 22 Dec 2022 08:33:32 UTC (8,047 KB)
[v2] Wed, 15 Nov 2023 08:53:29 UTC (10,986 KB)
[v3] Fri, 10 Jan 2025 05:28:08 UTC (18,130 KB)
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