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View a PDF of the paper titled Infrared Image Super-Resolution: Systematic Review, and Future Trends, by Yongsong Huang and 3 other authors
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 this https URL.
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)
[v4]
Thu, 20 Feb 2025 08:23:07 UTC (17,977 KB)
[v5]
Wed, 24 Sep 2025 07:26:13 UTC (13,229 KB)
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