论文标题
红外图像超分辨率：系统评价和未来趋势
Infrared Image Super-Resolution: Systematic Review, and Future Trends
论文作者
论文摘要
图像超分辨率（SR）对于广泛的计算机视觉和图像处理任务至关重要。研究红外（IR）图像（或热图像）超分辨率是深度学习发展的持续关注。这项调查旨在提供IR图像超分辨率的全面视角，包括其应用，硬件成像系统困境以及图像处理方法的分类学。此外，还讨论了IR图像超分辨率任务中的数据集和评估指标。此外，强调了当前技术的缺陷以及社区探索的可能有希望的方向。为了应对该领域的快速发展，我们打算定期更新相关的出色工作，\ url {https://github.com/yongsongh/infrared_image_image_sr_survey
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{https://github.com/yongsongH/Infrared_Image_SR_Survey
