Infrared Image Super-Resolution: Systematic Review, and Future Trends
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Abstract (arXiv)
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 https://github.com/yongsongH/Infrared_Image_SR_Survey.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 51 of its 262 references that are in the map. First posted on arXiv 22 Dec 2022.
Builds on
51 of 262 references.
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38 more
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Citing papers per year: 2023: 3; 2024: 2; 2025: 1; 2026: 4.
10 papers.
- 2024IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Modelcited by 12
- 2025DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imagingcited by 7
- 2024SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolutioncited by 2
- 2026Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Datasetcited by 2
- 2023LATIS: Lambda Abstraction-based Thermal Image Super-resolutioncited by 1
- 2023Infrared Image Super-Resolution via GANcited by 0
- 2023Learn From Orientation Prior for Radiograph Super-Resolution: Orientation Operator Transformercited by 0
- 2026GTFMN: Guided Texture and Feature Modulation Network for Low-Light Image Enhancement and Super-Resolutioncited by 0
- 2026Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmarkcited by 0
- 2026AnchorSplat: Fast and Structure Consistent Detail Synthesis for Gaussian Splattingcited by 0
- 2026AnchorSplat: Fast and Structure Consistent Detail Synthesis for Gaussian Splatting1 Jul 2026
- 2026Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark30 Apr 2026
- 2026Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset5 Mar 2026
- 2026GTFMN: Guided Texture and Feature Modulation Network for Low-Light Image Enhancement and Super-Resolution27 Jan 2026
- 2025DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging2 Mar 2025
- 2024IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model16 May 2024
- 2024SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolution22 Apr 2024
- 2023Learn From Orientation Prior for Radiograph Super-Resolution: Orientation Operator Transformer27 Dec 2023
- 2023Infrared Image Super-Resolution via GAN1 Dec 2023
- 2023LATIS: Lambda Abstraction-based Thermal Image Super-resolution18 Nov 2023